⭐⭐⭐⭐⭐ "Amaan didn't just build us an estimating tool. He took the time to understand how our preconstruction team actually works. The system reads our plans and specs, flags conflicts we used to miss, and every number traces back to its source. It saved our estimators days on every bid." I do RAG and AI agent development for teams that can't afford a wrong answer. I build Retrieval Augmented Generation (RAG) systems and AI agents that stay grounded in your actual documents, cite every source, and never fabricate a number, code, or figure. Most AI document tools work in a demo and fall apart on real, messy data. My RAG and AI agent development work is built to hold up in production: Retrieval Augmented Generation (RAG) pipelines and AI agents that ingest your PDFs, contracts, claims, and specs, retrieve the right answer every time, and back every response with a citation to the exact source. I've shipped RAG systems and AI agents across legal, finance, construction, banking, enterprise, healthcare, insurance, and real estate, from architecture all the way to live production. What I build: - RAG (Retrieval Augmented Generation) & document intelligence: ask questions across your PDFs, contracts, policies, and records and get cited, auditable, source-grounded answers, with OCR ingestion, hybrid retrieval, and reranking for RAG accuracy - AI agents & AI agent development: multi-agent systems and AI agents that read documents, query databases, validate extracted data, flag discrepancies, update CRMs, and trigger actions end to end with human-in-the-loop review - Anti-hallucination RAG architecture: retrieval-grounded answers, citation enforcement, and structured-output validation so your RAG system and AI agents never invent a number or a code - Agentic workflow automation: connecting your RAG pipelines and AI agents into the tools your business already runs on Industries I've built RAG and AI agents for: - Legal, finance, construction, banking, enterprise, healthcare, insurance, and real estate Why people work with me: - I've done production RAG and AI agent development in fintech (MCA underwriting and bank-statement document intelligence), legal (RAG-powered drafting and practice management with multi-agent AI workflows), and construction (document-AI estimating and takeoff agents) - I engineer anti-hallucination RAG architectures, keeping probabilistic LLM reasoning strictly separate from deterministic calculation, with validated structured outputs and source citations on every RAG answer - My RAG and AI agent development stack is Python and LangChain/LangGraph, with hybrid retrieval, reranking, and vector databases (Pinecone, Qdrant, ChromaDB) tuned for accuracy on real documents - I ship working RAG systems and AI agents fast, then harden them for edge cases, reliability, and maintenance How I work: - I learn your documents and your workflow first: what you need to retrieve, where accuracy matters most, and what a correct, cited RAG answer looks like - I build a working Retrieval Augmented Generation (RAG) pipeline quickly so you can query your own data and see the citations - I focus on retrieval quality, validation, and grounding before adding anything else, because in accuracy-critical RAG and AI agent development, traceability beats cleverness - As your document volume grows, I keep optimizing RAG retrieval accuracy and AI agent reliability If your team is drowning in documents, can't trust AI answers without a source, or needs AI agents that actually validate and act on your data, let's talk. Start with a free strategy call. I'll map one RAG or AI agent system that can realistically pay for itself within 30 days, and tell you exactly what to build.

🚀 Get Verified B2B Leads + Outreach Systems That Fill Your Pipeline and Close More Deals. 📩 Available 24/7 | Quick Response | 100% Verified Leads | Free Sample Available ✅ Send me a message and I'll send you a free sample list based on your exact criteria before you commit to anything. If you're tired of paying for leads that go nowhere, you're in the right place. I'm a GTM Engineer, Lead Generation Specialist and Clay Expert who goes beyond simply finding contacts. I combine high-quality B2B Lead Generation, LinkedIn Prospecting, Clay-powered Data Enrichment, and Outreach Automation to deliver verified, CRM-ready prospect lists that your sales team can act on immediately with zero cleanup needed. Every lead I deliver is researched, verified, and aligned with your exact Ideal Customer Profile. I don't just hand you a list. I build the system that keeps your pipeline full. 🎯Who I Work With ✔ Businesses struggling to get consistent, qualified leads ✔ Startups & agencies needing verified prospect lists ✔ Sales teams looking to connect with Owners, CEOs, Founders, COOs, CFOs & Decision-Makers ✔ Founders who want to scale faster with predictable outreach 📌Services I Provide ✅ Lead Generation & Prospect Research ✔ B2B Lead Generation (Verified & Targeted) ✔ LinkedIn Lead Generation & Outreach ✔ E-commerce Lead Generation & Email Finding ✔ Contact List Building & Data Enrichment ✔ Sales Leads & Business Leads ✔ Targeted Prospect Research & Database Building ✅ Email & CRM Services ✔ Verified Personal & Business Emails ✔ Email List Building & Bulk Email Skip Tracing ✔ CRM ready Data (Excel, Google Sheets, HubSpot, Salesforce, Zoho) ✔ Email Verification (Verimail, Emaillistverify, Zerobounce, Mailtester) ✅ LinkedIn & Outreach Services ✔ LinkedIn Sales Navigator Lead Research ✔ LinkedIn Prospecting & Messaging Strategy ✔ Connecting with Decision-Makers & Executives ✔ LinkedIn Data Mining & Profile Research ✅ Additional Services ✔ Appointment Setting & Cold Calling Support ✔ Company Research ✔ Real Estate Leads & Google Maps Scraping ✔ Data Mining, Data Entry & Web Research and smilar task ⭐ TOOLS I USE Clay • Apollo • LinkedIn Sales Navigator • Hunter • Snov • RocketReach • ContactOut • Clearbit • ZoomInfo • Lusha • NeverBounce • ZeroBounce • Google Search • Google Maps • Crunchbase • Yelp • Yellow Pages • GoHighLevel • HubSpot • Salesforce • n8n • Make • Zapier • Google Sheets • Excel ⭐ WHAT YOU RECEIVE ✔ 100% verified and targeted leads ✔ Direct decision-makers contacts (CEO, Founder, Owner, COO, CFO, VP, and C-Level) ✔ 100% Verified Business Email ✔ Direct Phone Number where available ✔ LinkedIn Profile URL ✔ Industry, Company name, Website, Social profiles, Revenue, Company size, and location ✔ CRM ready Excel / Google Sheet / HubSpot / Salesforce files ✔ LinkedIn Outreach Strategy to connect & engage your prospects Delivered in Google Sheets, Excel, CSV, or directly into your CRM. ⭐ WHY CLIENTS WORK WITH ME ✦ Targeted prospect lists built around your exact ICP ✦ 100% verified emails with zero bounce rate ✦ CRM-ready delivery with no cleanup required ✦ Fast turnaround and responsive communication ✦ Free sample before you commit to anything I WORK WITH Agencies | B2B SaaS | Coaches | Real Estate | Solar | Healthcare | E-commerce | Hospitality | Restaurants | Property Management | Startups INDUSTRIES SaaS | Healthcare | Real Estate | E-commerce | Hospitality | Education | Manufacturing | Retail | IT and Telecom | Property Management | Commercial Businesses KEYWORDS B2B Lead Generation | Lead Generation | Outbound Lead Generation | Targeted Lead Generation | Qualified Lead Generation | Lead Generation Specialist | Lead Gen Specialist | Lead Gen Expert | B2B Lead Gen | LinkedIn Lead Generation | LinkedIn Sales Navigator | LinkedIn Outreach | LinkedIn Prospecting | List Building | Prospect List | Prospect List Building | Contact List | Email List | Sales Lead Lists | High Quality Leads | Verified Leads | Appointment Setting | B2B Appointment Setting | Appointment Setter | Appointment Setting Services | Discovery Call Booking | Qualified Appointments | Lead Generation and Appointment Setting | Cold Email Outreach | B2B Cold Outreach | Cold Outreach Services | B2B Outreach | B2B Prospecting | Outbound Prospecting | Multi Touch Outreach | Data Mining | Data Scraping | Data Extraction | Data Collection | Data Entry | Data Cleaning | Data Enrichment | Online Research | Web Research | Company Research | Market Research | Email Verification | ICP Research | Ideal Customer Profiling | Sales Prospecting | Prospecting Specialist | Lead Qualification | Lead Nurturing | Follow Up Sequences | Pipeline Building | Sales Pipeline Management | B2B Sales | B2B Sales Support | B2B Sales Development | Sales Development | Qualified Leads Generation | Real Estate Lead Generation | Influencer Research | Lead Generation Analysis | Lead Generation Strategy | Clay Expert | GTM Engineer

Your support team answers the same questions every day, and a generic bot only makes it worse. I fix that as an AI Chatbot Developer, AI Engineer, and System Architect: a chatbot built on your real data with Agentic RAG and AI LLM orchestration, engineered in Python, gives accurate, source-cited answers 24/7, with no human intervention. That is the difference between a real chatbot and a demo, and it is what an AI Engineer designs every Python system to deliver. Top Rated AI Chatbot Developer and AI Engineer on Upwork · 50+ AI Chatbot systems in Python · 10+ years software engineering · 100% Job Success · $100K+ earned across healthcare, finance, SaaS, and real estate. The principle behind every build: a chatbot that isn't grounded in your knowledge base is just a science project. So as an AI Engineer and System Architect, I ground each chatbot in your actual documents and databases with Python RAG systems, and I tune the Agentic RAG layer in Python until the AI LLM answers from your data, not from guesswork. Deep RAG tuning and AI LLM refinement is where an AI Engineer earns the result. What I build: Agentic RAG chatbots: context-aware chatbot answers drawn from your own documents over RAG pipelines with Pinecone, Qdrant, or Chroma, on Claude, GPT-4, or Llama 3, wired together in Python. Sources cited, no hallucinations, every AI LLM answer grounded in your data by an AI Engineer using RAG architecture. AI LLM-powered RAG workflows: Python with LangChain and LlamaIndex that read documents, extract insights, and automate multi-step work end to end with RAG retrieval, AI LLM retries and exception handling in Python. Engineered by an AI Engineer with RAG expertise and architected by a System Architect, with the chatbot layer sitting on a scalable Python RAG core. GenAI & NLP apps: a text, voice, and image chatbot with full conversation state, RAG grounding, and multi-platform deployment, shipped end to end in Python by a System Architect. Healthcare & telehealth: HIPAA-compliant Agentic RAG chatbot pipelines with strict data grounding and audit trails, built in Python by an AI Engineer and System Architect with real healthcare experience and RAG compliance. Rapid MVPs: a working RAG-powered chatbot in weeks, not months, delivered as clean, documented Python your team can own as a maintainable Python asset. That is how an AI Engineer builds a Python chatbot with RAG to hand off. Results: support costs cut 35-55% with an Agentic RAG chatbot · 100+ hours/month recovered through AI LLM automation and RAG efficiency in Python · up to 60% revenue lift from smarter chatbot engagement powered by RAG. These are the numbers an AI Engineer and System Architect are hired to move. How I work: Discovery, then Agentic RAG and AI LLM architecture in Python, then a fast MVP, then scaling for accuracy, speed, and multi-platform deployment. Because I work across every major AI LLM and open-source AI LLM provider through Python RAG systems, I'll tell you honestly whether Claude, GPT-4, or open-source fits your accuracy, cost, and privacy needs before you commit. What separates a real System Architect from an API-wrapper is designing each RAG chatbot for real data, real edge cases, and real production load in Python, the standard an AI Engineer is held to across every AI LLM and RAG implementation I deploy. Scalability and infrastructure: a chatbot that's fast in a demo and slow under load is a failure, so as a System Architect I design the data flow, caching, and failover in Python that keep your RAG chatbot fast at scale. An AI Engineer plans the Python RAG system before a line of code ships, and a System Architect owns the trade-offs between cost, latency, and accuracy. Tech stack: Python · Claude · GPT-4 · Llama 3 · LangChain · LlamaIndex · AutoGPT · Autogen · Pinecone · Qdrant · Chroma · Node.js · Django · TensorFlow · Docker · AWS · Azure, the Python toolkit an AI Engineer ships with. Want a RAG chatbot or Python product that's measurable, not a science project? Message an AI Engineer and System Architect who has shipped 50+ Python chatbot systems with RAG. As your dedicated AI Chatbot Developer, AI Engineer, and System Architect, I offer a free 30-minute consultation to map your Agentic RAG and AI LLM roadmap in Python before you spend a dollar. Bring your use case and a System Architect who grounds every chatbot in real data and clean Python will scope it properly. That is the commitment a System Architect stands behind, and the reason a grounded RAG chatbot earns the contract.

I came into healthcare design after watching a family member struggle with a patient portal that had been redesigned three times and still required a phone call to do anything. That experience shapes how I work. Healthcare and fitness products aren't like other software. The user is often anxious, sometimes in pain, sometimes a caregiver fielding crisis on someone else's behalf. The data they share is private in ways that matter. Designs that ignore this, and most do quietly fail people when they're most vulnerable. 𝗪𝗛𝗔𝗧 𝗜 𝗗𝗘𝗦𝗜𝗚𝗡 • Telemedicine and virtual care apps. • Patient portals and engagement products. • EHR and EMR-adjacent tools. • Clinical workflow software for nurses, GPs, and allied health professionals. • Mental health and therapy apps. • Fitness trackers, workout apps, and habit-building products. • Wellness coaching, nutrition, and meal planning apps. • Women's health products. Senior care apps. • HealthTech startups across primary care, specialty care, behavioral health, and chronic disease management. 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗥𝗜𝗡𝗚 𝗧𝗢 𝗜𝗧 A working understanding of HIPAA and how it shapes UX decisions — consent flows, audit trails, data minimization, PHI handling, secure messaging UX. I work with your compliance lead, not around them. Familiar with HL7 FHIR data structures and how they constrain UI design. Accessibility as a baseline, not a phase 2 feature. WCAG 2.1 AA is the floor. Healthcare audiences include older adults, people with chronic conditions, and people in distress — accessible design isn't optional in this category. A bias toward calm interfaces. Healthcare apps don't need confetti animations. They need clarity, predictability, and respect for the user's time. 𝗖𝗢𝗥𝗘 𝗔𝗥𝗘𝗔𝗦 𝗢𝗙 𝗙𝗢𝗖𝗨𝗦 Patient onboarding and intake: insurance verification, medical history capture, appointment booking, identity verification, and consent. The first 5 minutes determine whether the patient comes back. 𝗦𝘆𝗺𝗽𝘁𝗼𝗺 𝗮𝗻𝗱 𝗽𝗿𝗼𝗴𝗿𝗲𝘀𝘀 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴: pain scales, symptom journals, mood tracking, vitals logging, period tracking, sleep tracking. Designed to capture useful data without making the user feel like they're filing paperwork. 𝗧𝗲𝗹𝗲𝗺𝗲𝗱𝗶𝗰𝗶𝗻𝗲 𝗮𝗻𝗱 𝘃𝗶𝗿𝘁𝘂𝗮𝗹 𝗰𝗮𝗿𝗲 𝗨𝗫: pre-visit waiting rooms, video consultation interfaces, in-call clinical tools, post-visit summaries, prescription handling, and follow-up scheduling. 𝗖𝗹𝗶𝗻𝗶𝗰𝗶𝗮𝗻-𝗳𝗮𝗰𝗶𝗻𝗴 𝘁𝗼𝗼𝗹𝘀: charting, e-prescribing, order entry, clinical decision support, and dashboards for doctors and care coordinators. UX that respects the 14-second average a clinician spends per chart. 𝗙𝗶𝘁𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝗵𝗮𝗯𝗶𝘁 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀: onboarding without overwhelming, workout players that work mid-rep, progress visualization that motivates without shaming, and engagement loops grounded in behavioral design rather than dark patterns. 𝗠𝗲𝗻𝘁𝗮𝗹 𝗵𝗲𝗮𝗹𝘁𝗵 𝗮𝗻𝗱 𝘁𝗵𝗲𝗿𝗮𝗽𝘆: crisis-aware UX, therapist matching, journaling, mood tracking, asynchronous therapy interfaces. Special attention to safety, privacy, and the difference between data the user wants to remember and data they want to forget. 𝗪𝗼𝗺𝗲𝗻'𝘀 𝗵𝗲𝗮𝗹𝘁𝗵: cycle tracking, fertility apps, pregnancy and postpartum products, menopause apps. A category most designers approach badly — I don't. Senior care and accessibility-first design: large type, high contrast, simple navigation, voice-first patterns, and caregiver views. 𝗧𝗢𝗢𝗟𝗦 𝗔𝗡𝗗 𝗠𝗘𝗧𝗛𝗢𝗗𝗦 • Figma for design. • ProtoPie when interactions need to feel alive. • Maze and UserTesting for testing — though clinical user research often requires specialist recruiters and IRB-aware protocols, which I plan around. • Familiar with FHIR data, EHR integration constraints, and Apple HealthKit / Google Fit / Fitbit APIs as design inputs. 𝗪𝗛𝗢 𝗜'𝗠 𝗔 𝗚𝗢𝗢𝗗 𝗙𝗜𝗧 𝗙𝗢𝗥 Telemedicine and virtual care startups. HealthTech companies past MVP. Fitness and wellness app teams wanting design that doesn't feel like every other app in the category. Mental health platforms. Clinics digitizing patient experience. Insurance and benefits products. Companies building inside the constraints of HIPAA, GDPR healthcare data rules, or regional regulations. 𝗡𝗢𝗧 𝗔 𝗙𝗜𝗧 𝗙𝗢𝗥 Medical device firmware UI requiring formal IEC 62304 documentation. Anything requiring FDA submission packages. "Wellness" products with predatory pricing or pseudoscience claims. Apps that gamify chronic illness in exploitative ways. 𝗚𝗘𝗧𝗧𝗜𝗡𝗚 𝗦𝗧𝗔𝗥𝗧𝗘𝗗 If you're building something where users are trusting you with health data and you want a designer who takes that seriously, send me a quick description and a link to your product. I'll come back within a day with an honest read.

Hi, I'm 𝐌𝐢𝐭𝐮𝐥 𝐏𝐚𝐧𝐜𝐡𝐨𝐥𝐢 👋 I'm a 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 with 8+ years of experience helping startups, founders, and businesses build scalable SaaS platforms, custom web applications, dashboards, admin panels, and AI-powered solutions. 🏆 Top Rated Freelancer ✅ 100% Job Success Score ✅ $20K+ Earned on Upwork ✅ 27 Successfully Completed Projects ✅ 1,368+ Hours Worked ✅ 8+ Years of Professional Experience I help businesses turn ideas into production-ready products using 𝐑𝐞𝐚𝐜𝐭, 𝐍𝐞𝐱𝐭.𝐣𝐬, 𝐍𝐨𝐝𝐞.𝐣𝐬, 𝐓𝐲𝐩𝐞𝐒𝐜𝐫𝐢𝐩𝐭, 𝐏𝐨𝐬𝐭𝐠𝐫𝐞𝐒𝐐𝐋, 𝐒𝐮𝐩𝐚𝐛𝐚𝐬𝐞, 𝐀𝐖𝐒, 𝐚𝐧𝐝 𝐀𝐈 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬. Whether you're building an MVP, launching a SaaS platform, modernizing an existing application, or scaling your product, I can handle the complete development process—from frontend and backend development to APIs, databases, deployment, optimization, and long-term support. From idea to deployment, I take full ownership of your project and build secure, scalable, and production-ready applications designed for long-term growth. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 → SaaS Platforms → MVP Development → Custom Web Applications → Admin Dashboards → Client Portals → Internal Business Tools → AI-Powered Applications → Marketplace Platforms → CRM & ERP Systems → Real-Time Applications → API Development & Third-Party Integrations → Payment Gateway Integrations 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ✦ React ✦ Next.js ✦ JavaScript ✦ TypeScript ✦ Tailwind CSS ✦ Material UI ✦ Bootstrap ✦ Redux Toolkit ✦ Responsive Web Design ✦ SSR / SSG / ISR ✦ Performance Optimization ✦ Progressive Web Apps (PWA) 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ✦ Node.js ✦ Express.js ✦ NestJS ✦ REST APIs ✦ GraphQL ✦ Authentication & Authorization ✦ Webhooks ✦ Background Jobs ✦ Real-Time Features ✦ Role-Based Access Control (RBAC) ✦ Microservices 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 & 𝐂𝐥𝐨𝐮𝐝 ✔ PostgreSQL ✔ MongoDB ✔ MySQL ✔ Supabase ✔ Firebase ✔ Redis ✔ AWS ✔ Azure ✔ Google Cloud ✔ Docker ✔ CI/CD ✔ Vercel 𝐀𝐈 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 → OpenAI API → ChatGPT Integrations → AI Chatbots → AI Agents → Workflow Automation → n8n → 𝐌𝐚𝐤𝐞.𝐜𝐨𝐦 → Zapier → LangChain → RAG Applications → Custom AI Solutions 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞 ✔ End-to-End Product Ownership ✔ Clean, Scalable & Maintainable Code ✔ Business-Focused Development ✔ Fast Communication ✔ On-Time Delivery ✔ Transparent Project Updates ✔ Long-Term Technical Support ✔ Reliable Technical Partner I don't just write code. I help clients make the right technical decisions, reduce development risks, and build scalable products that support long-term business growth. 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮'𝐥𝐥 𝐆𝐞𝐭 ✔ Production-Ready Applications ✔ Modern & Responsive User Experience ✔ Secure APIs & Database Design ✔ Scalable Backend Architecture ✔ High-Performance Web Applications ✔ SEO-Friendly Development ✔ Clean & Maintainable Code ✔ Long-Term Support After Launch 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐈'𝐯𝐞 𝐖𝐨𝐫𝐤𝐞𝐝 𝐖𝐢𝐭𝐡 ✦ SaaS ✦ Healthcare ✦ FinTech ✦ E-Commerce ✦ Education ✦ Real Estate ✦ Logistics ✦ Travel ✦ AI & Automation ✦ Startup Products 𝐌𝐲 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 ① Understand your business goals ② Plan the best technical solution ③ Build scalable frontend and backend systems ④ Test thoroughly ⑤ Deploy securely ⑥ Optimize performance ⑦ Provide ongoing support 𝐋𝐞𝐭'𝐬 𝐁𝐮𝐢𝐥𝐝 𝐒𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐆𝐫𝐞𝐚𝐭 If you're looking for a 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 who can take ownership of your project from idea to deployment, I'd be happy to help. 📩 Send me a message or invite me to your project. I'll review your requirements, recommend the best technical approach, and help turn your idea into a scalable, production-ready application.

𝗜 𝗯𝘂𝗶𝗹𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 — 𝗻𝗼𝘁 𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲𝘀. Most AI projects look great in a demo and break when they meet real work. The agent routes to the wrong tool. The RAG retrieves the wrong chunks. The voice latency kills the conversation. The pipeline runs in a notebook but never makes it to production. That's where I come in. In 2 months at a Dubai tech company, I built and deployed 6 production AI services from zero infrastructure. Voice assistants, document tools, RAG pipelines, agent workflows — all live, all on AWS, all monitored with LangSmith. ─────────────────────────── WHAT I'VE SHIPPED ─────────────────────────── ◆ Voice assistant with 7-agent architecture — real-time speech (Deepgram + LiveKit), Text-to-SQL, RAG document Q&A, multi-agent routing via LangGraph ◆ AI Status Reports — optimized 17s → 2.1s, beat the 5-second requirement by 58% ◆ Document Classifier — bulk upload with Gemini 2.0 Flash. $0.0002/doc, 100% accuracy in production testing ◆ COSTRA — 5-agent BOQ extraction (internal tool) — vision models (Claude 4.5 Sonnet, Gemini 3 Pro) extracting data from construction PDFs, exports to Excel/JSON ◆ Medical RAG (graduation research, distinction with honors) — F1: 79.3 / EM: 69.4 on LitQA v2 with hybrid retrieval, cross-encoder reranking, context compression ─────────────────────────── WHAT I BUILD FOR YOU ─────────────────────────── ◆ Multi-Agent Systems — LangGraph, LangChain, tool routing, structured outputs, conditional flows ◆ Voice AI Agents — phone calls (Telnyx), browser-based (LiveKit), real-time STT/TTS (Deepgram, ElevenLabs), Silero VAD ◆ RAG Pipelines — over your documents, databases, and APIs. Hybrid retrieval, reranking, evaluation. ◆ LLM Apps & APIs — Claude, GPT-4, Gemini, Groq, or self-hosted (vLLM, Ollama) ◆ Production Deployment — FastAPI → Docker → AWS (Lambda, EC2, Bedrock) with CI/CD, Caddy reverse proxy, LangSmith monitoring ─────────────────────────── TECH STACK ─────────────────────────── Languages & Frameworks — Python, FastAPI, Flask, Next.js, React Agents & Orchestration — LangGraph, LangChain, multi-agent systems, tool calling RAG & Retrieval — Hybrid retrieval (BM25 + dense), cross-encoder reranking, context compression, chunking strategies Voice AI — Deepgram, LiveKit, Telnyx, ElevenLabs, Silero VAD, Gemini Live API LLMs — Claude, GPT-4, Gemini, Groq, AWS Bedrock, vLLM, Ollama Vector Stores — FAISS, Pinecone, Qdrant, Milvus, Chroma, pgvector Cloud & Infra — AWS (EC2, Lambda, Bedrock, API Gateway, S3, Amplify), Docker, Coolify, CI/CD Observability — LangSmith, Langfuse Backend — PostgreSQL, Supabase, Neo4j AuraDB Automation — n8n, REST APIs, webhooks ─────────────────────────── AWS Certified Cloud Practitioner. Tell me what you're trying to build. I'll tell you if it's the right approach and how I'd build it.

🏆 Top Rated | Agentic AI Specialist | Full-Stack & Mobile App Expert 🏆 With 22+ years of experience in building enterprise-grade AI, web, and mobile applications, I specialize in delivering high-quality, scalable, and secure solutions tailored to meet unique business needs. My expertise spans Agentic AI, generative AI systems, full-stack development, mobile app engineering, cloud integration, and API development, enabling intelligent digital experiences for diverse industries. Whether it's building autonomous AI agents, crafting intuitive user interfaces, or developing robust backend systems, my approach focuses on innovation, efficiency, and exceptional user experience. Services I Offer ✅ AI & Generative AI Solutions: AI agents, RAG systems, chatbots, and workflow automation ✅ Full Stack Development: End-to-end web platforms and SaaS applications ✅ API Development & Integration: REST APIs, GraphQL, and third-party integrations ✅ Cloud & DevOps: Scalable architectures using AWS, Azure, Docker ✅ Mobile App Development: iOS, Android, and cross-platform applications ✅ Data & AI Integration: Connecting AI with business systems (ERP, CRM, databases) Industries Served I have successfully collaborated with clients in Healthcare, Finance, eCommerce, Education, Real Estate, Retail/FMCG, Manufacturing, Automotive, Fitness, Fashion, and more. My ability to understand industry-specific challenges ensures tailored solutions for maximum impact Technical Expertise Agentic & Generative AI ➡ GPT-4, GPT-4o, Llama 2/3, Mistral - Leading LLMs for intelligent applications. ➡ LangChain, LlamaIndex, CrewAI, AutoGen - Agentic AI frameworks. ➡ Pinecone, pgVector, Chroma, Weaviate - Vector databases for RAG systems. ➡ Whisper (STT), ElevenLabs (TTS) - Voice-enabled AI solutions. ➡ DialogFlow CX, Rasa, Botpress - Conversational AI platforms. Frontend Development ➡ React.js, Angular, Vue.js, Next.js - Modern, dynamic user interfaces. ➡ HTML5, CSS3, JavaScript, TypeScript - Core web technologies. ➡ Tailwind CSS, Bootstrap - Scalable, responsive designs. Backend Development ➡ Node.js (Express.js, NestJS) - Efficient server-side solutions. ➡ Python (Django, Flask, FastAPI) - High-performance applications. ➡ Ruby on Rails, ASP.NET Core - Enterprise-grade frameworks. Database Management ➡ Relational: MySQL, PostgreSQL, MSSQL - Structured data solutions. ➡ NoSQL: MongoDB, Firebase, DynamoDB - Scalable unstructured data. Cloud & DevOps ➡ AWS (Lambda, EC2, S3), Azure, GCP - Scalable cloud hosting. ➡ Docker, Kubernetes - Seamless container orchestration. Mobile App Development ➡ iOS (Swift, UIKit, SwiftUI, ARKit) and Android (Kotlin, Java). ➡ Cross-Platform: Flutter, React Native. ➡ Bluetooth, in-app payments, AR/VR capabilities. Why Choose Me? ✔ Proven track record in delivering business-transforming solutions. ✔ Expertise in agentic AI systems, scalable architectures, and clean code. ✔ Client-focused with timely delivery and excellent communication skills. 🚀 Let’s Elevate Your Project! Looking for a reliable partner to build an intelligent AI system, a complex enterprise solution, a user-friendly web app, or an innovative mobile application? Let's collaborate to bring your ideas to life!

I'm an AI engineer specializing in AI agent development, RAG systems, generative AI, and LLM automation — $90K+ earned on Upwork, 27 projects delivered, Top Rated, with production AI and enterprise software running for clients across healthcare, SaaS, and compliance-heavy industries. Most clients come to me after an AI prototype that never made it to production. I build AI systems that hold up under real users, real data, and real compliance requirements — not demos. 🤖 AI Agent Development Multi-agent systems and autonomous workflows using LangGraph, CrewAI, AutoGen, and custom agent architectures. Agents that make decisions, call your APIs, process documents, and complete real business tasks end to end. 📚RAG Systems & Enterprise Document Intelligence Retrieval Augmented Generation pipelines over your documents and knowledge bases — semantic search, chat-with-your-data, and enterprise document intelligence. I've built RAG systems searching 100,000+ documents with sub-second latency using Qdrant, Pinecone, ChromaDB, and FAISS, including fully on-premise, air-gapped deployments for compliance-heavy organizations. 🧠 LLM Integration & AI App Development Production integration of OpenAI API (GPT-4/GPT-5), Anthropic Claude, Gemini, Llama, and open-source models — including hybrid model routing that sends simple tasks to fast, cheap models and complex reasoning to heavy ones, cutting inference costs without cutting quality. AI chatbots, document processing, classification, and AI features inside existing products. ⚙️ AI Automation & Workflows LLM-powered automation using n8n, Make, and Python — lead processing, data extraction, content pipelines, and internal tooling that removes manual work. If your team is copy-pasting between tools, I can probably automate it. ☁️Cloud Infrastructure & AI Security AWS (EC2, ECS, S3, Bedrock), GCP, Docker, Kubernetes — scalable deployments, GPU inference, and AI security done properly: encrypted data pipelines, on-premise and air-gapped LLM deployments, role-based access control, and audit trails that satisfy enterprise compliance. Recent work includes enterprise software builds like a document intelligence platform with on-premise LLMs and SAP integration, and a multi-agent healthcare SaaS platform aggregating data from 32 medical directories with LLM-powered analysis and content generation. How I work: ✅ Production-ready code with testing, documentation, and monitoring ✅ Fixed-price milestones or clearly scoped hourly engagements ✅ Clear async communication and regular progress demos ✅ Ongoing optimization after deployment — most clients retain me after the first build Stack: Python, FastAPI, LangChain, LangGraph, OpenAI API, Claude, Qdrant, Pinecone, PostgreSQL, Supabase, n8n, Make, AWS, GCP, Docker, Kubernetes, Custom Software Development, Highlevel Development, Claude Opus, Claude Fable, n8n custom deployment, Enterprise Software, AI Automation Message me with what you're trying to build or automate — I'll respond with specific questions about your use case, not a template pitch.

I'm an AI Developer and Full-stack developer who builds automation that runs your ops like a digital employee, not a fragile trigger chain. As an AI Developer, I design each AI Agent to think, decide, and self-correct using Claude as the reasoning engine. Systems that reason, not just react. A real AI Developer ships logic, not glue, and as a Full-stack developer I build the product end to end. Agentic AI is what turns that logic into a system. Most businesses have a system design problem, not an automation one. Workflows break on n8n make and Zapier because no one engineered the logic underneath. I fix that with Agentic AI on Claude that holds up in production using n8n make infrastructure. Top 1% Upwork · 100% Job Success · 5.0 Rating · $100K+ Earned · 686+ Hours · 34+ Projects WHAT I BUILD: As an AI Developer, I give each tool one job: n8n make for orchestration and data transformation, Zapier for integrations, and Claude as the reasoning engine. I architect n8n make workflows to qualify leads, sync HubSpot/Salesforce/Airtable, and run support triage with AI Agents. I ship full AI SaaS on Claude, and as a Full-stack developer own frontend, backend, and database. n8n make orchestrates and transforms together amplifying Claude's reasoning. This Agentic AI difference separates systems from scripts. RECENT RESULTS: SaaS sales engine: AI Agent on Claude with n8n make cut lead response 4 hours to 4 minutes, $9K/month saved. Built as Agentic AI on Claude with n8n make backbone. Agency pipeline: one agent across 12 accounts using n8n make saved 120 hours/month, 65% faster. Support triage: AI Agent resolves 60% Tier 1 tickets, 80% faster, with n8n make routing and escalations. TECH STACK: Automation: n8n make · Zapier AI & Agents: Claude (Anthropic) · LangChain · RAG · Agentic AI Backend: Node.js · Python · PostgreSQL Frontend: React · Next.js Integrations: HubSpot · Salesforce · Airtable · Shopify · WooCommerce HOW I WORK: As an AI Developer, I audit first, then architect n8n make pipelines for orchestration and transformation. I design each AI Agent for hard cases, failure edges, rate limits, malformed inputs with self-correction built in. Agentic AI earns trust by surviving edge cases. As a Full-stack developer, I ensure the AI SaaS around it holds up whether powered by n8n make. Everything I deliver is stable, documented, and built to scale. As an AI Developer, I build each AI Agent right on Claude. As a Full-stack developer, I stand behind the whole system. An AI Developer who builds like a Full-stack developer covers engineering and accountability. WHY AN AI DEVELOPER, NOT AN INTEGRATOR: An integrator connects apps; an AI Developer engineers decisions. I plan for API failures and malformed inputs the AI Agent recovers on its own. Whether leveraging n8n make orchestration power, I architect systems that survive edge cases. That reliability is why I earn repeat work after the first AI SaaS ships using n8n make infrastructure. Send your use case. I'll reply with a personalised Loom showing the AI Agent in action, plus a free audit from your AI Developer specialist on Claude. Bring the problem; your AI Developer brings the system.

🚀 𝐓𝐎𝐏 𝐑𝐀𝐓𝐄𝐃 𝐏𝐋𝐔𝐒 | 𝐀𝐈 & 𝐋𝐋𝐌 𝐄𝐱𝐩𝐞𝐫𝐭 | 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 | 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐌𝐄𝐑𝐍/𝐌𝐄𝐀𝐍/𝐏𝐲𝐭𝐡𝐨𝐧 𝐒𝐚𝐚𝐒 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 With 15+ years of experience delivering scalable, secure, and business-focused technology solutions, I specialize in building AI-powered applications, intelligent automation systems, and full-stack cloud-based SaaS platforms. Over the past few years, my core focus has been on LLMs, AI agents, and workflow automation, helping startups and enterprises transform operations using modern AI stacks. 𝐀𝐈, 𝐋𝐋𝐌 & 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 I design and deploy production-ready AI systems that integrate directly into business workflows. 𝐂𝐨𝐫𝐞 𝐀𝐈 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 LLM Integration | 2. AI Agent Development (Autonomous & Multi-Agent Systems) | 3. Retrieval-Augmented Generation (RAG) Pipelines | 4. LangChain & LlamaIndex | 5. Vector Databases | 6. Prompt Engineering & Optimization | 7. Enterprise Knowledge Automation | 8. AI Chatbots & Conversational Systems | 9. ML Model Deployment & API Integration I build AI systems that go beyond chat they automate decisions, manage workflows, and integrate deeply into SaaS and enterprise environments. ⚡ 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 I architect intelligent automation systems that reduce manual effort and improve efficiency using modern automation frameworks and orchestration tools. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 Advanced Automation Workflows | 2. CRM & Business Process Automation | 3. Workflow Orchestration | 4. API & Webhook Integrations | 5. AI-powered Backend Automation | 6. n8n-based Workflow Automation & AI Integrations I have hands-on experience building automation pipelines using tools like n8n to connect APIs, automate business processes, trigger AI workflows, and integrate SaaS platforms across different systems. From lead management systems to AI-driven backend automation, I build scalable workflow ecosystems. 🌐 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐖𝐞𝐛 & 𝐌𝐨𝐛𝐢𝐥𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 | 𝐌𝐄𝐑𝐍 | 𝐌𝐄𝐀𝐍 | 𝐏𝐲𝐭𝐡𝐨𝐧 | 𝐢𝐎𝐒 | 𝐀𝐧𝐝𝐫𝐨𝐢𝐝 Highly proficient Full Stack Developer with strong expertise in modern JavaScript, Python, and cross-platform mobile technologies, delivering scalable web and mobile applications. 𝐌𝐄𝐑𝐍 𝐒𝐭𝐚𝐜𝐤 MongoDB | 2. Express.js | 3. React.js | 4. Node.js | 5. REST APIs | 6. GraphQL | 7. JWT Authentication | 8. Real-time Applications | 9. SaaS Platforms 𝐌𝐄𝐀𝐍 𝐒𝐭𝐚𝐜𝐤 MongoDB | 2. Express.js | 3. Angular | 4. Node.js | 5. Enterprise Dashboards | 6. Admin Panels | 7. SaaS Workflows | 8. Cloud-Based Applications 𝐏𝐲𝐭𝐡𝐨𝐧 𝐒𝐭𝐚𝐜𝐤 Django | 2. Django REST Framework | 3. FastAPI | 4. Flask | 5. Microservices | 6. AI/ML Backend Integration | 7. Secure API Development 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐩𝐩 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 (𝐢𝐎𝐒 & 𝐀𝐧𝐝𝐫𝐨𝐢𝐝) React Native Cross-Platform Apps | 2. Native Module Integration | 3. App Store & Play Store Deployment | 4. API Integration | 5. Push Notifications | 6. Real-Time Features End-to-end development including backend APIs, database architecture, cloud deployment, production setup, Dev/UAT environments, and performance optimization. ☁️ 𝐒𝐚𝐚𝐒 & 𝐂𝐥𝐨𝐮𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 Multi-tenant SaaS Architecture | 2. Role-Based Access Control (RBAC) | 3. Subscription & Payment Integration | 4. AWS | Azure | GCP | 5. Docker & Kubernetes | 6. CI/CD Pipelines | 7. Serverless Architecture | 8. Secure Cloud Deployment From MVP to enterprise-grade platforms — I take full ownership from architecture to production. 🔐 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞-𝐆𝐫𝐚𝐝𝐞 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 SOC 2 | 2. HIPAA | 3. GDPR | 4. ISO Standards | 5. PCI DSS | 6. CMMI-driven Processes Security, scalability, and maintainability are built into every solution. 🌎 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 Telecom | 2. Healthcare | 3. FinTech | 4. E-commerce | 5. Drones & IoT | 6. Enterprise SaaS | 7. AI Automation Platforms | 8. Cloud Systems 💡 𝐖𝐡𝐚𝐭 𝐌𝐚𝐤𝐞𝐬 𝐌𝐞 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 AI-first thinking | 2. Strong automation expertise | 3. Deep full-stack engineering skills | 4. Cloud-native architecture experience | 5. Business-driven execution I don’t just build applications I design intelligent, scalable ecosystems that grow with your business. 🎯 𝐈𝐟 𝐘𝐨𝐮’𝐫𝐞 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐓𝐨 Integrate AI or LLM into your product Build AI agents or RAG-based knowledge systems Automate workflows Build a full-stack web or mobile application Develop a secure, cloud-based scalable SaaS platform Let’s connect. I take a strategic, hands-on approach and deliver production-ready systems not just code. -- Ashish