🏆 9,000+ HOURS WORKED | 🏆 500+ JOBS COMPLETED | 🏆 20+ YEARS EXPERIENCE Enterprise AI & Automation Architect specializing in custom AI applications, intelligent automation platforms, and AI-powered SaaS solutions that transform business operations and unlock new revenue streams. 💼 WHAT I BUILD FOR YOUR BUSINESS: ✅ Custom AI-powered applications with LLM integration (ChatGPT, Claude, Llama) ✅ Intelligent automation workflows using n8n, Make, and Zapier with AI enhancement ✅ AI-driven SaaS platforms and MVPs with real-time data processing ✅ RAG (Retrieval-Augmented Generation) systems for document intelligence and knowledge bases ✅ Chatbot and AI agent applications with custom tool integration ✅ Automated data pipelines that extract, transform, and analyze business data ✅ AI workflow automation that eliminates repetitive tasks and reduces operational costs by 60% ✅ Full-stack AI applications from concept to deployment (Python backend, React frontend) 🛠️ TECHNICAL EXPERTISE 🤖 AI Application Development: Custom AI Apps: Python, FastAPI, Flask, Django backends with React and Next.js frontends LLM Integration: OpenAI GPT-4, Claude API, Llama models, custom prompt engineering AI Agents: LangChain, AutoGPT, autonomous agents with tool calling and memory Vector Databases: Pinecone, Weaviate, Chroma for semantic search and RAG systems RAG Systems: Document processing, embeddings, intelligent Q&A, knowledge retrieval ⚡ Intelligent Automation: Workflow Automation: n8n (expert-level), Make, Zapier for complex multi-step workflows API Integration: REST and GraphQL APIs, webhooks, custom connectors, third-party service integration Data Automation: Web scraping, data extraction, ETL pipelines, automated reporting Business Process Automation: CRM integration, email automation, lead qualification, data enrichment AI-Enhanced Workflows: LLM-powered decision trees, intelligent routing, automated content generation 💻 Full-Stack Development: Backend: Python (FastAPI, Flask, Django), Node.js, serverless functions (Lambda, Cloud Functions) Frontend: React, Next.js, Vue.js, responsive UI and UX, modern web applications Databases: PostgreSQL, MongoDB, MySQL, Redis, vector databases APIs: RESTful design, GraphQL, authentication (JWT, OAuth), rate limiting, documentation ☁️ Cloud & Infrastructure: Cloud Platforms: AWS (Lambda, EC2, S3, RDS, SageMaker), Azure, Google Cloud Containerization: Docker, Docker Compose, container orchestration CI/CD: GitHub Actions, GitLab CI/CD, automated deployment pipelines Monitoring: Application logging, error tracking, performance monitoring, uptime alerts 🧠 AI & Machine Learning Operations: MLOps Platforms: Model deployment, versioning, monitoring, A/B testing ML Frameworks: TensorFlow, PyTorch, Scikit-learn for custom model training Computer Vision: Image processing, object detection, OCR, video analytics NLP Processing: Text analysis, sentiment analysis, entity extraction, document classification Data Engineering: Apache Airflow, data pipelines, batch processing, real-time streaming 🔒 Enterprise Security & Network (20+ Years): Network Architecture: Enterprise-grade design supporting 10,000+ users at 99.9% uptime Security Systems: Fortinet, Cisco Firepower, zero-trust architecture, compliance (SOC2, ISO 27001) DevOps: Infrastructure as Code (Terraform), Ansible, Kubernetes, monitoring (Grafana, Prometheus) Hybrid Cloud: Multi-cloud integration, secure connectivity, disaster recovery 🎯 SPECIALIZED SOLUTIONS: 📱 SaaS & MVP Development: End-to-end SaaS platform development from concept to launch MVP development with rapid iteration and user feedback integration Multi-tenant architecture with user management and billing integration Subscription management, payment processing (Stripe, PayPal) Admin dashboards, analytics, reporting features 🔄 Business Automation: Marketing automation with AI-powered personalization Sales pipeline automation and lead scoring Customer support automation with intelligent chatbots Data synchronization across multiple platforms Automated reporting and business intelligence dashboards 📊 Data Processing & Analytics: Web scraping and data extraction from complex websites API data aggregation from multiple sources Real-time data processing and transformation Automated data cleaning and enrichment Custom analytics dashboards with visualization 🤝 Integration Expertise: CRM Systems: Salesforce, HubSpot, Pipedrive integration Communication: Slack, Teams, Discord bots and notifications E-commerce: Shopify, WooCommerce, payment gateway integration Marketing Tools: Google Ads, Facebook Ads, email marketing platforms Productivity: Google Workspace, Microsoft 365, Notion, Airtable

𝗬𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗶𝘀 𝗯𝘂𝗿𝗻𝗶𝗻𝗴 50𝗞–𝟱𝟬𝟬𝗞/𝘆𝗲𝗮𝗿 𝗼𝗻 𝘄𝗼𝗿𝗸 𝗔𝗜 𝗰𝗮𝗻 𝗱𝗼 𝗯𝗲𝘁𝘁𝗲𝗿. 𝗜 𝗯𝘂𝗶𝗹𝗱 𝘁𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗿𝗲𝗰𝗹𝗮𝗶𝗺 𝗶𝘁. 25+ production AI systems shipped across healthcare, life sciences, distribution, hospitality, construction, fintech, and enterprise SaaS. Not prototypes. Real systems running 24/7 with measurable ROI. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: 🧬 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐟𝐨𝐫 𝐋𝐢𝐟𝐞 𝐒𝐜𝐢𝐞𝐧𝐜𝐞𝐬 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 Multi-agent platform automating IND/CTA submissions, clinical study reports, and safety narratives for biotech & pharma. Includes AI-powered document extraction, intelligent template generation, automated data propagation across regulatory modules, and human-in-the-loop validation. SOC 2 & GDPR compliant. Trusted by top-20 pharma companies. [Google ADK, LiteLLM, Agentic AI, AWS] 💰 𝐀𝐈 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐟𝐨𝐫 𝐍𝐘 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐅𝐢𝐫𝐦 Built a Claude-powered pipeline that classifies 200+ page financial documents, extracts structured values into a governed database, and produces defensible outputs with an evaluation dataset ensuring accuracy across edge cases. [Claude, Document AI, Structured Extraction, Evals] 💍 𝐀𝐈 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐀𝐠𝐞𝐧𝐭 + 𝐑𝐞𝐯𝐞𝐫𝐬𝐞 𝐈𝐦𝐚𝐠𝐞 𝐒𝐞𝐚𝐫𝐜𝐡 𝐟𝐨𝐫 𝐉𝐞𝐰𝐞𝐥𝐫𝐲 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐞𝐫 RAG-powered MS Teams assistant that captures institutional knowledge from emails, Zoho tickets, and legacy ERP (NAV 2009). Plus a custom computer vision search engine for jewelry B2B commerce with 0% dead-end searches. [Azure OpenAI, RAG, FastAPI, Computer Vision] 📦 𝐀𝐈 𝐎𝐫𝐝𝐞𝐫 𝐏𝐚𝐫𝐬𝐢𝐧𝐠 + 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐏𝐨𝐫𝐭𝐚𝐥 𝐟𝐨𝐫 𝐃𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐨𝐫 Automated PO parsing across 25,000+ SKUs. 30 min → under 1 min, 97% accuracy, 70% faster fulfillment. Plus a conversational AI portal (MCP-powered) for natural-language access to orders, invoices, inventory & support cases. [Vertex AI, Fine-tuned Gemini, Claude, MCP, NetSuite] 🍽 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 + 𝐖𝐡𝐚𝐭𝐬𝐀𝐩𝐩 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐑𝐞𝐬𝐭𝐚𝐮𝐫𝐚𝐧𝐭 𝐆𝐫𝐨𝐮𝐩 Voice + WhatsApp agent handling 95%+ of reservations and event inquiries across multi-venue hospitality group. £30K annual savings, zero dropped leads, GDPR-compliant. [Voice AI, WATI, Toast API, WooCommerce] 🏗 𝐀𝐈 𝐋𝐞𝐚𝐝 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐀𝐠𝐞𝐧𝐭 𝐟𝐨𝐫 𝐂𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧 LLM-powered agent scans local news and institutional sites for capital campaigns, grants & property purchases. 90%+ lead relevance, real-time MS Teams delivery, duplicate prevention, and update intelligence. [Python, LLM APIs, MS Teams API] 🩺 𝐀𝐈 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐭𝐢𝐜 & 𝐕𝐨𝐢𝐜𝐞 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐟𝐨𝐫 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐋𝐚𝐛 Voice + chat + OCR healthcare assistant handling test discovery, symptom analysis, appointment booking, prescription parsing & report interpretation for one of Pakistan's largest diagnostic labs. [Pinecone, Gemini, Logfire] 💊 𝐀𝐈 𝐇𝟏𝐁 𝐕𝐢𝐬𝐚 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Multi-tenant SaaS automating case management, OCR document extraction (>95% accuracy), LLM-powered petition drafting, and billing compliance for immigration law. [Django, AWS Textract, OpenAI, QuickBooks API] 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐰𝐢𝐭𝐡: ◆ 𝐀𝐈 & 𝐀𝐠𝐞𝐧𝐭𝐬: LangChain, LangGraph, LlamaIndex, Pydantic AI, Google ADK, OpenAI API, Claude, AWS Bedrock, MCP Servers, Multi-Agent Orchestration ◆ 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈: Retell AI, OpenAI Realtime API, ElevenLabs, Whisper, Custom Voice Agents ◆ 𝐑𝐀𝐆 & 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞: Pinecone, Weaviate, ChromaDB, Qdrant, PDF/OCR Parsing, ERP Integration (NetSuite, Oracle), OCR, Document extraction, PDF extraction. ◆ 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: LangSmith, Logfire, Phoenix Arize, LLM Evaluation ◆ 𝐒𝐭𝐚𝐜𝐤: Python, FastAPI, React, Next.js, PostgreSQL, Docker, AWS/Azure/GCP ◆ 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: HubSpot, Salesforce, NetSuite, Zapier, Make, Slack, Stripe ✅ 𝗚𝗼𝗼𝗱 𝗳𝗶𝘁 𝗶𝗳: - You have 5+ employees and a decision-maker in the room - Budget is $5K+ with a target of $10K+ in measurable savings within 90 days - Ready to start within 2 weeks ❌ 𝗡𝗼𝘁 𝗮 𝗳𝗶𝘁 𝗶𝗳: - Price is your #1 decision factor - You expect results in under 2 weeks - You don't value mutual respect & collaboration 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗿𝗲-𝗵𝗶𝗿𝗲 𝗺𝗲: → 𝐙𝐞𝐫𝐨 𝐬𝐮𝐫𝐩𝐫𝐢𝐬𝐞𝐬. Every milestone, deliverable, and cost locked in from day one. No scope creep. → 𝟗𝟑% 𝐨𝐧-𝐭𝐢𝐦𝐞, 𝐨𝐧-𝐛𝐮𝐝𝐠𝐞𝐭. I scope with precision and deliver exactly what I promise. → <𝟑𝟎 𝐦𝐢𝐧 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐞 𝐭𝐢𝐦𝐞. Every time. → 𝐄𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐨𝐰𝐧𝐞𝐫𝐬𝐡𝐢𝐩. Concept to production. 12 years.

Hit me up for a free consultation or Audit. I ship production AI systems fast, with AI native tools ( 20x faster ) or hand written code ( 10x faster ) depending on what your project actually needs. 7+ years of engineering. 5 years building the traditional way: Python, APIs, cloud infrastructure, code I debugged line by line. The last 2+ years shipping 10x faster with Claude Code, MCP architecture, Hermes agents, Lovable, Replit and Base44. 𝗚𝗼𝘁 𝗮𝗻 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝘁𝗵𝗮𝘁 𝗻𝗲𝗲𝗱𝘀 𝘁𝗼 𝗯𝗲 𝗯𝘂𝗶𝗹𝘁 𝗽𝗿𝗼𝗽𝗲𝗿𝗹𝘆? 𝗛𝗶𝘁 𝗜𝗻𝘃𝗶𝘁𝗲. Let's figure out the right architecture together. RECENT WORK - Multi agent system automating 235+ daily CRM records for a real estate firm, running in production - RAG knowledge assistant for a healthcare SaaS platform, live and serving daily queries - AI agents and MCP tooling built on Claude for business automation workflows - Rapid MVP builds deployed with Claude Code, Lovable and Replit for startup founders - Fine tuned Meta MusicGen on a 30,000-track library (PyTorch, Hugging Face), deployed on AWS If any of that matches what you are trying to build, send me an invite. I respond within 0 to 4 hours. I have delivered over 25+ AI solutions across real estate, SaaS, healthcare and marketing. Clients describe me as committed to quality, clear in communication and someone who defines the right architecture before writing a single line of code. 𝗠𝘆 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: LLM & AI Core LangChain, LangGraph, Anthropic, Azure OpenAI Service, Retrieval Augmented Generation (RAG), LLM Prompt Engineering Voice & Conversational AI Conversational AI, Natural Language Processing, Twilio API, AI Agent Development Automation & Workflows n8n, Make, Zapier, GHL, Airtable and Business Process Automation ML & Deep Learning PyTorch, Hugging Face, Deep Learning, Computer Vision Cloud & Infrastructure Microsoft Azure, AWS, GCP, CI/CD ------------------------------------ Use these keywords to find me: Vibe Coding, Claude Code, Claude, MCP, Model Context Protocol, AI Agents, AI Agent Development, Multi-Agent Systems, Hermes, RAG, Retrieval-Augmented Generation, LangGraph, LangChain, Prompt Engineering, LLM Prompt Engineering, LLM Integration, Python, FastAPI, AWS, Azure OpenAI Service, Azure Cognitive Services, Microsoft Azure, GPT-4, Lovable, Replit, Base44, Cursor, Generative AI, Generative Models, Artificial Intelligence, Machine Learning, Natural Language Processing, Natural Language Understanding, Chatbot Development, AI Chatbot, Conversational AI, Voice AI, Twilio API, API Integration, API Development, Business Process Automation, Hugging Face, PyTorch, TensorFlow, Deep Learning, Computer Vision, OpenCV, LlamaIndex, Semantic Search, Microsoft Graph API, Outlook API, SaaS, Cloud Computing, GCP, Google Cloud Run, Next.js, Vercel, Docker, React, JavaScript, AI Builder, AI Model Integration

Hey there! I’m Hasan and I would love to help you build something great! My experience covers AI agents, chatbots, voice bots, workflow automation, generative AI, computer vision, machine learning and data analytics. I am also quite skilled in developing mobile and web apps. I work with businesses from the initial idea and technical planning through to development, integration and deployment. If you’re looking to build something modern, clean and AI powered, I’m here to help :) 🤝 How I can help you ✅ AI Agents, Chatbots & Voice Bots – Customer support, sales, lead qualification and appointment booking – RAG chatbots, knowledge bases and multi-agent systems – Vapi, Twilio, ElevenLabs, CrewAI and OpenAI integrations ✅ Workflow Automation – n8n, Zapier, Make, Airtable, Shopify, Notion and CRM workflows – Automated sales, marketing, reporting and customer support systems ✅ Web & Mobile App Development – AI-powered SaaS platforms, dashboards and business applications – React, Next.js, React Native, TypeScript, FastAPI and Python – API, database, payment and third-party service integrations ✅ Generative AI & Machine Learning – Content generation, document processing, OCR and prompt engineering – Computer vision, object detection, pose estimation and predictive models – Text-to-image, image-to-image and custom AI applications 🧱️ Technologies I Build With - AI Platforms and Frameworks OpenAI, LangChain, CrewAI, RAG pipelines, embeddings, prompt engineering, Hugging Face, Pinecone, Vapi, Twilio, ElevenLabs, n8n, OpenClaw, Claude, Make and Zapier. - Machine Learning and Computer Vision TensorFlow, PyTorch, OpenCV, YOLO, MediaPipe, OCR, NLP, predictive modelling and fine-tuned models. - Automation, Data and Integrations Airtable, Shopify, Notion, Stripe, Slack, Google Calendar, CRM integrations, custom APIs, web scraping, data pipelines, SQL systems, analytics and live reporting. - Web and App Development React, React Native, Flutter, Next.js, TypeScript, Node.js, FastAPI, Django, Flask, Tailwind, Supabase, Firebase, PostgreSQL and MongoDB. - Cloud and Deployment AWS, GCP, Docker, Runpod and Vercel. 📍 Solutions I Have Developed – Real estate AI voice bot for property enquiries and lead qualification – Multi agent customer support system with CRM and Stripe integration – Real-time Shopify analytics and executive alerting system – AI-powered legal advisory chatbot – Social media content creation and publishing automation – Real time logo recognition and location based promotions platform – AI resource allocation and project management application – Lead generation and market intelligence platform – Fitness tracking application using computer vision – AI powered interior design, fashion and virtual try on tools 🚀 What Sets Me Apart: - Continuous learning and adaptation to new AI technologies. - Strong problem solving abilities and attention to detail. - Exceptional communication and team collaboration skills. - Practical AI solutions built around business outcomes - Experience across agents, automation, voice AI and machine learning - End to end support from planning to deployment - Strong focus on reliability, usability and long term maintainability 🌐 Let's Connect: If you're looking for an AI professional with a deep understanding of various AI domains and a proven track record of success, I'm the right fit for your team or project. Let’s begin working together and create something great :)

I build production AI agents and LLM systems. 50+ projects across fintech, healthcare, media, legal tech, climate tech, and research: multi-agent systems, agent harnesses, evaluation systems for agentic workflows, Claude Code, Claude Agent SDK, OpenAI Codex, Hermes, Openclaw, MCP servers, RAG at scale, fine-tuning, and document AI. 7+ years shipping ML and AI in production. $700K+ delivered. Expert-Vetted (top 1%). 100% Job Success Score. I’m not new to ML. Before the LLM wave I spent years building classical ML and NLP systems in Python: search engines, recommendation engines, entity extraction, knowledge graphs, and predictive models. That foundation means I know when a problem needs an LLM and when it doesn’t. I’ve also cofounded two startups, so I think about business outcomes, not just model accuracy. Recent work: - N1 Healthcare: Led the Report Generation team on a medical AI platform. Built the agent harness that dispatches 13+ clinical report workflows across Claude Agent SDK, OpenAI Agents SDK, and Agno through a LiteLLM gateway, with a planner coordinating 20+ specialty agents. Report cost went from roughly $80 to $15-25 per run. Also worked on the upstream medical record parsing pipeline. - Newsweek (4+ years): 15+ AI applications and 6 Azure Function Apps used daily by non-technical editors. Cosmos DB vector search with Reciprocal Rank Fusion hybrid ranking on 3072-dim embeddings, MCP servers exposing agent tools to Copilot Studio, automated article-to-video pipeline at 95%+ success. A live 30-day window measured 497 editorial hours saved at 15.8% AI adoption. Trained editorial staff to run the systems without developer support. - Stratifi: Built the AI layer on a Django + Postgres backend. Dual-LLM PDF extractor (GPT-4o + Gemini) at 95%+ accuracy on 50+ page brokerage statements, 10-30 positions/second, with a 24-document eval harness gating prompt changes. Multi-agent financial chatbot routing across 4 market data sources, plus a 4-layer portfolio optimization agent and a Lambda support agent with tool calling. Elasticsearch hybrid search over millions of securities. - CGIAR: Research impact assessment processing 9,166+ records with 6 fine-tuned GPT-4o-mini variants, GPU-accelerated PDF layout detection with Detectron2, 3-tier evidence extraction at 50 concurrent operations. - Adoro: 7-stage AI automation pipeline for marketing, turning a week-long manual process into under an hour, processing 100K+ items per run with 3-pass LLM extraction (initial, reflection, self-reflection). - ClimateX: Web crawling and location intelligence pipeline with Flair NER for entity extraction, dual geocoding APIs, and proximity-based deduplication. - Accelchain: Smart contract vulnerability detection covering 37 SWC vulnerability types with vector-DB retrieval over 33,488 known patterns, RAG plus few-shot plus Chain of Thought for explainable remediation. - SynMax: NLP pipeline processing 400,000+ historical records with LongT5 fine-tuned at 16K context, 16-category document classification, cross-document entity linking across court records, deeds, and financial documents. - Epitome (cofounded): HR Tech B2B2C platform with custom Word2Vec on millions of LinkedIn profiles, ArangoDB knowledge graph modeling O*NET across 20+ edge collections, entity resolution cascade (exact, fuzzy, embedding, LLM), Elasticsearch candidate search, 40+ REST endpoints. Core capabilities: AI Agents and Orchestration, Agent Harnesses, Agent Evals, Multi-Agent Systems, Claude Agent SDK, MCP, LLM Fine-Tuning and Post-Training, RAG and Hybrid Retrieval, Document AI and OCR, Production ML and Forecasting, NLP and Knowledge Graphs, Data Pipelines and ETL, Cloud Infrastructure, and API Development.

AI Agent Developer | AI Automation Expert | Forward Deployed Engineer ( FDE ) | Voice AI Agents & Automation | AI Chatbot Development | OpenAI, Claude, RAG, LangChain, MCP, OCR ✅ 10+ Years of Experience in AI, AI Automation & Software Development ✅ AI Agents, Voice Agents & Multi-Agent Systems ✅ OpenAI, Claude, Gemini & Custom LLM Integrations ✅ RAG Systems, Knowledge Bases & AI Search ✅ Workflow Automation & Business Process Automation ✅ Long-Term & Enterprise Project Experience Greetings, I am Usman, a certified AI agent developer and forward deployed engineer. I build production-ready AI agents and automation systems that cut overhead by 40–70%, deployed inside your real stack through system integration and legacy system integration. Every project runs on spec-driven development — a full architecture, data flow, tool design, and acceptance criteria, before a single line of code is written. I've delivered AI agents, AI chatbots, voice AI agents, workflow automation, and business process automation across Healthcare, FinTech, SaaS, Real Estate, and Sales, working directly with your team through client-facing technical delivery. ——— 𝐏𝐫𝐨𝐯𝐞𝐧 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 ——— 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭: Automated patient onboarding, EMR management, and appointment scheduling. Cut admin errors across the workflow. 𝐅𝐢𝐧𝐓𝐞𝐜𝐡 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭: Built a QuickBooks automation layer that detects invoices, syncs data, and sends AR follow-ups without manual tracking. 𝐅𝐢𝐧𝐚𝐧𝐜𝐞 𝐒𝐚𝐚𝐬 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦: Built an agent network automating finance, HR, and marketing workflows in parallel for an enterprise client — one system instead of three separate tools. 𝐒𝐚𝐥𝐞𝐬 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭: Real-time coaching system that analyzes live calls, tracks KPIs, and gives feedback right after each call instead of during a weekly review. 𝐑𝐞𝐚𝐥 𝐄𝐬𝐭𝐚𝐭𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭: Built a home valuation platform that generates multi-tier pricing reports, renovation recommendations, and market comparisons automatically. 𝐖𝐡𝐚𝐭 𝐈 𝐜𝐚𝐧 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐭𝐨 𝐲𝐨𝐮: ——— 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ——— I design custom AI agents and multi-agent systems with LangChain, LangGraph, CrewAI, AutoGen, the Claude SDK, and the OpenAI Agent SDK. Each system includes memory management, tool orchestration, error handling, and observability built for production traffic, not a prototype. I also build MCP (Model Context Protocol) servers so an agent connects to any external tool, API, or data source through one standard interface. ——— 𝐅𝐨𝐫𝐰𝐚𝐫𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐞𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 ——— As a Forward Deployed Engineer, I handle production deployment and system integration directly inside your real stack through client-facing technical delivery. Every build follows spec-driven development, connects through API integration and legacy system integration, and supports the same business process automation running across your operations. ——— 𝐑𝐀𝐆 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 & 𝐀𝐈 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 ——— I build retrieval-augmented generation pipelines using LlamaIndex, LangChain, Flowise, and vector databases like Pinecone, Qdrant, Weaviate, ChromaDB. Whether your data lives in PDFs, databases, or internal systems, the agent retrieves and reasons over it directly. ——— 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 ——— For teams scaling AI automation beyond a single agent, I deploy distributed multi-agent systems on Ray enabling parallel agent execution, load balancing, and fault-tolerant AI workflow automation across large data volumes. This is enterprise-grade agentic AI, not a weekend prototype. ——— 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 & 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ——— I build AI chatbots and conversational voice agents with the OpenAI API, Claude, Gemini, Vapi, Deepgram, and ElevenLabs, using natural language processing and machine learning for intent handling. These agents run lead qualification, patient intake, appointment scheduling, and customer support, connected into your CRM or helpdesk through API integration and AI model integration. ——— 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 ——— AI Agents & Agentic AI: LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, Flowise, OpenAI Agent SDK, Claude SDK, MCP (Model Context Protocol) Distributed AI: Ray, Celery, Redis, Dapr LLMs: GPT-4o GPT-5 Claude 3.5 Sonnet, Llama 3, Gemini Vector Databases: Pinecone, Qdrant, Weaviate, ChromaDB, FAISS Voice AI Agents: Vapi, Deepgram, ElevenLabs, Whisper Frontend/Backend: Javascript, React.js, Next.js, Node.js, Tailwind CSS, React Native, FastAPI, REST APIs, GraphQL Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, CI/CD CRM & Integrations: HubSpot, Salesforce, Slack, Firebase, QuickBooks AI-Assisted Dev Tools: Antigravity, Cursor, Windsurf, GitHub Copilot, Replit, Claude Code, Claude co-work, Let's discuss your use case and map out the most practical AI solutions for your business.

I build RAG pipelines, AI chatbots, and AI agents with LangChain, OpenAI, Claude, and Gemini — 126 Upwork jobs, $600K+ earned, and 9,000+ hours delivering production AI systems, not prototypes. Recent work includes an AI appointment chatbot built over 3,200 hours (5.0★), an AI storybook platform (GPT-4o, Supabase, Stripe — 1,315 hours, 5.0★), a custom-trained coaching assistant, a health-insurance query chatbot, and a multi-agent system delivered under a contract literally titled "Chatbot langchain agents." 🔹 What I build ● RAG & knowledge assistants — vector search over your documents (Pinecone, FAISS, Weaviate), hybrid retrieval, re-ranking, and hallucination control, so the bot answers from YOUR data ● AI chatbots — multi-turn memory, session state, website/CRM integration, support deflection ● AI agents & multi-agent systems — task planning, tool use, function calling, workflow automation ● Document AI — OCR pipelines, PDF extraction, NER, classification, handwriting recognition ● LLM apps end to end — FastAPI backends, model routing, cost and latency tuning, evaluation 🔹 Results you can verify in my work history ● AI appointment & booking chatbot — 3,200 hours over 14 months, 5.0★: "a great team that will be able to build your projects from scratch" ● Handwriting-OCR digitization of paper forms — 5.0★: "very successful implementation… going to save us hundreds of hours of work" ● AI storybook web platform (GPT-4o, Supabase, Stripe) — 1,315 hours, 5.0★: "delivers high quality work, communicates clearly, and follows through" ● Custom-trained coaching assistant for an online course — 5.0★: "committed to completing the project you envision" ● Voice & call AI — golf-caddy voice agent ("I would highly recommend working with Anurag"), GPT call-review system, sales-call feedback tool ● Support & domain chatbots — health-insurance queries, customer support ("seamless from start to finish"), interior-design website ("delivered tremendous strong work") 🔹 How I work Milestones on every fixed-price project, clear written updates, and working software demoed weekly. First reply within the hour during IST work hours; risks flagged early, never at delivery. 🔹 Stack LangChain, LlamaIndex, OpenAI (GPT-4o family), Anthropic Claude, Google Gemini, LLaMA/Mistral, Pinecone, FAISS, Weaviate, Python, FastAPI, Node.js, PostgreSQL, Docker, Kubernetes, AWS, GCP, Azure. Backed by Hestabit — an ISO 27001 and SOC 2 Type II certified team — for projects that need NDAs, security review, or extra hands. If you need a chatbot that answers from your own data, an agent that automates a real workflow, or an LLM feature shipped inside your product, send me the job details — I'll reply with a concrete plan, timeline, and cost.

Hi, I’m Adil. I help companies build AI systems that actually work in production, not just in a demo video. I’ve spent five years in technical leadership and honestly, the pattern is usually the same. Businesses invest in AI, but the foundation underneath is fragile. No data isolation. No audit trail. Just a model sitting on top of a mess. In my opinion, that’s not an AI problem, it’s a Product Architecture problem. My job is to handle the Enterprise Systems Engineering so that never happens to you. Before we write code, I handle the Product Design. I map out the Product Roadmap, the data paths, and the security gates. I build with Zero Trust principles so your Product Launch results in a real business asset, not a security liability. What I focus on: - Multi Agent Systems: Building swarms that follow your rules using LangGraph and MCP. - Enterprise RAG: Creating grounded systems that pull the right data without making things up. - AI Security and Data Privacy: Using PostgreSQL RLS and strict isolation so client data never mixes. - Product Audit: Reviewing your current stack to find where AI actually saves you money. - AI Product Management: Leading the Product Development Life Cycle from a rough idea to a stable release. Tech Stack: AI/ML: LangGraph, LangChain, RAG, MCP, OpenAI, Anthropic Claude, Vector Search. Full Stack: Next.js 14, Node.js, FastAPI, Python, PostgreSQL RLS, Supabase. Mobile: Flutter, React Native, iOS/Android cross-platform development. Infrastructure: AWS (IAM, GuardDuty), Docker, Vercel, Kafka. If you need AI infrastructure that is secure and ready for real users, send me a message. We'll know in the first conversation if I'm the right partner for your roadmap.

$700K+ delivered on Upwork across 145 projects with a 100% Job Success Score. I architect and ship production AI systems, Voice AI agents handling live calls under 2-second latency, computer vision platforms processing 8M+ daily events, and full-stack products running in production for years. What I build: 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 & 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗴𝗲𝗻𝘁𝘀 Real-time voice pipelines combining speech-to-text, LLM reasoning, and natural voice synthesis. I built SloanConnect, an AI telephony platform that automates insurance verification calls end-to-end, navigates IVR systems, holds dynamic conversations with representatives, and scales to hundreds of concurrent calls. Sub-2-second response time, encrypted compliance handling, production-stable. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗮𝘁 𝗦𝗰𝗮𝗹𝗲 Lead AI Engineer on two production CV platforms: Adlytic - privacy-safe in-store retail analytics with GDPR-compliant pipelines, heatmaps, and POS integration, and SportsEye - real-time soccer analytics from broadcast feeds with 96% accuracy across player tracking, field mapping, and tactical metrics with zero on-field hardware. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Hybrid recommendation engines on PySpark processing 8M+ daily impressions. NLP and sentiment systems wired into live dashboards. Healthcare process automation with HIPAA-aligned data handling. Models built to live in real environments, not notebooks. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗟𝗟𝗠 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 (𝗖𝗹𝗮𝘂𝗱𝗲, 𝗢𝗽𝗲𝗻𝗔𝗜, 𝗺𝘂𝗹𝘁𝗶-𝗺𝗼𝗱𝗲𝗹) End-to-end AI agents shipped to production: a Shopify + Amazon SP-API customer service agent with order lookup, refunds, returnless-refund policies, Slack/Email approval gates, and Klaviyo sync. Multi-step LLM pipelines with tool use, RAG, function calling, and human-in-the-loop checkpoints. I design these as systems, not single prompts, and I'm comfortable across Claude, OpenAI, and open-weight models depending on what fits the workload. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 Every AI product needs scaffolding that holds. I've shipped Django/Node/React/Next.js platforms that ran 3+ years in production, Alchemist Real Estate, audIT.app, and a long-running B2B SaaS that grew from MVP to hundreds of users across $195K+ in contracted development. Distributed backends, REST/GraphQL APIs, AWS-native deployment, data pipelines, and the DevOps to keep them stable. 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸 As Lead Engineering Architect, I stay hands-on through the whole lifecycle, discovery, architecture, core implementation, deployment, and the long tail. I don't hand off and disappear. Most of my Upwork work is repeat business or long contracts measured in years, not weeks. If you're building a Voice AI agent, a computer vision platform, an LLM-driven workflow, or a full-stack AI product that needs to survive real load - let's talk.

Your AI agent works in the demo and breaks at 100 real users — retrieval was never tuned, the token bill explodes, the architecture buckles. I build agent and RAG systems that hold up in production. 25+ live now, not in a demo folder. 100% Job Success, Top Rated Plus, $300K+ earned, 1,600+ hours on Upwork. Most of the people I work with are founders, CTOs, or ops leads who either need an enterprise SaaS platform built properly for the first time or have a pilot that has stalled and is quietly eating into the budget. I architect and build every system myself, with 16,000+ hours of delivery behind me across healthcare, fintech, SaaS, and real estate, so you're talking to the person who's actually designing your system, not a project manager passing notes back and forth. Most AI projects break in the same place. The demo works great. Then the first hundred real users show up, and things start coming apart: the architecture buckles under load, the token bill gets out of hand, and it turns out retrieval was never really tuned. I build to get past that point. You get a staging environment in week one, a working demo every week, and a system that holds up under actual traffic and clears whatever compliance bar your industry sets. 📊 A few recent production systems: → AI-powered SaaS for the Spanish market (Spring Boot + React) — full multi-tenant platform delivered end-to-end. → AI messaging platform with real-time voice translation. Zero to paying users in 5 weeks. → Multi-agent AI workforce for enterprise ops: four autonomous agents handling inventory, marketing, and operational decisions. → Agentic RAG processing 500+ documents daily for a financial services firm, cutting user discovery time by 93%. → Voice AI for a daycare network. Saved them $24K a year. Built and deployed in 3 weeks. → HIPAA-aware AI triage in a regulated healthcare environment, currently saving the client $300K+ annually. Also in production: RAG assistants for telehealth, LLM-based call analysis across 40+ parameters, AI agents for real estate sales teams, AI knowledge bases for clinicians, document processing for investment analysts, and real-time voice AI avatars for medical education. ⭐⭐⭐⭐⭐ "He did not simply 'deliver a project'—he architected an entire AI-powered SaaS ecosystem from concept to deployment. What sets him apart is his ability to think like both a CTO and a product strategist." — Michael McGehee, Founder & CEO at FreeTrials ⭐⭐⭐⭐⭐ "His ability to bridge strategy and innovation makes him a strong asset for any deep AI/ML-related position." — Louis A. E., CTO at GO, Founder at Web2 Web3 🔧 What I build → AI Agent Development and Multi-Agent Systems with LangChain, LangGraph, CrewAI, and MCP. Workflows with human-in-the-loop approvals, autonomous task execution, and tool orchestration. → RAG Pipelines and AI Knowledge Bases on LlamaIndex, Pinecone, Weaviate, pgvector, and Qdrant. Citation tracking, hybrid search, and the unglamorous retrieval tuning that's usually the difference between a demo and something you can actually ship. → AI Chatbots and Conversational AI on OpenAI, Claude, DeepSeek, Mistral, Llama, and open-source stacks. Conversation memory, escalation rules, and CRM or helpdesk integration. → AI SaaS and MVP Development end-to-end, on React, Next.js, TypeScript, Python, FastAPI, PostgreSQL, and AWS or GCP. → AI Voice Agents on Vapi, Retell AI, Twilio, and ElevenLabs. Real-time processing, appointment booking, CRM sync. → AI Integration and Workflow Orchestration with n8n, Make, and custom Python pipelines connecting LLMs to HubSpot, Salesforce, Zendesk, Google Workspace, and whatever else your team already lives in. →Machine Learning & Predictive Systems — NLP, computer vision, forecasting, and anomaly detection on PyTorch and TensorFlow. ⚙️ How I work Architecture, build, deploy, monitor. I lead the work end-to-end. MVPs go live in 2–3 weeks. Larger enterprise builds are structured around milestones, with weekly demos and a working staging environment from day one. Every deployment ships with CI/CD, monitoring, documentation, encrypted data handling, and 30 days of post-launch support. There's no PM filtering things. 🔒 More than engineering when you need it When a build needs it, I bring in vetted specialists: cloud and DevOps (AWS, Azure, GCP, Docker, Kubernetes, CI/CD), security and compliance (vCISO, SOC 2, ISO 27001, HIPAA, PCI DSS), and dedicated QA automation. You scope, build, secure, and test inside one engagement. 🎓 Credentials PhD in Generative AI and Reinforcement Learning (NUST). MEng in Machine Learning and Deep Learning. AWS Certified AI Practitioner. Upwork Python Skill Certified. 📩 Next step Send me a brief: what you're building, the problem it solves, and your timeline. Within 24 hours, you'll get a technical architecture outline and a straight read on scope. If you'd rather talk first, book a paid Architecture Review, and you'll walk out of the call with a written roadmap.