𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝: 𝐓𝐨𝐩 𝟏% 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 🥇 Senior Agentic AI Developer with 6+ Years of Experience | Shipped 50+ Role-Critical AI Agent + RAG Chatbots | Conversational AI | Senior AI First Full Stack Developer with Python(FastAPI + React) | Principal AI/ML | GenAI, LLM, Fine-tuning, Cloud(Azure, AWS, GCP) | I'm Samran Elahi, a Senior AI / Machine Learning Engineer who has worked extensively with NLP and Agentic AI. I'm equally skilled in automating custom workflows, developing LLMs, building RAG Powered Chatbots, and designing Machine Learning Models along with fine-tuning and Deploying them on AWS / Azure / GCP, or Runpod. ✅ 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐓𝐚𝐛𝐥𝐞 — 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐰𝐢𝐭𝐡 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ■ Natural Language Processing Expertise ✓ Chatbots and Conversational AI Development ■ AI Agents + RAG Chatbots Development Expertise ✓ Custom AI Agents built with LangChain / LangGraph. ✓ Role-critical MCP Agents for complex task handling. ✓ RAG-powered Chatbots with integrated LLMs (OpenAI, Claude, Mistral.) ✓ Frontend: React, Streamlit, Chainlit | Backend: FastAPI, Django. ✓ Vector DBs: Pinecone, FAISS, Weaviate. ■ Conversational AI with Real-Time Communication Capabilities ✓ Tools: ElevenLabs, Voice.ai, Retell.ai, Vapi integrations. ✓ Real-time API integration for seamless voice interactions. ■ Custom ML Model Development, Integration, and Deployment ✓ Supervised Learning: Regression, Classification. ✓ Unsupervised Learning: Clustering, Dimensionality Reduction, Anomaly Detection. ✓ Hyperparameter Tuning: GridSearch, RandomSearch, Bayesian Optimisation. ✓ Parameter-Efficient Fine-Tuning (PEFT). ✓ Model Deployment: Runpod, AWS, GCP, EC2. ✓ Model & Data Versioning: DVC. ✓ REST API Development: FastAPI, Flask, Django. 📢 Available, let's have a quick chat to go over the scope of your project. Best, Samran Elahi

With my 𝟏5 𝐲𝐞𝐚𝐫𝐬 of IT Service Expertise, I have been serving in Artificial Intelligence solutions for the 𝐥𝐚𝐬𝐭 𝟑 𝐘𝐞𝐚𝐫𝐬. and have successfully delivered the 𝟑𝟎+ 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬-𝐑𝐞𝐥𝐚𝐭𝐞𝐝 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬. It helps businesses to automate processes, enhance customer engagement, and unlock data-driven decision-making. My focus is on building scalable, intelligent systems for modern industry needs, ensuring efficiency, innovation, and measurable growth. Main Services - • AI 𝐀𝐠𝐞𝐧𝐭𝐬 Development • AI 𝐕𝐨𝐢𝐜𝐞𝐛𝐨𝐭 Development • AI 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 Development • AI 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Development ❇️ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 in Recent Years- • AI-Powered Voice Receptionist • Event Planner AI Agent • Chatsguru: No-Code AI Chatbot Builder • Zahoot AI • Legal Brain • Debt Intelligence • Secure Document WhatsApp Bot • Lobster (Location-Based Mobile App) • AI Agent for Talent Acquisition • Legal AI Agent • SaaS Guest Management • Phone AI Agent for restaurant order taking • Post Genius ❇️ 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 We design and develop intelligent AI agents capable of performing complex tasks autonomously. These agents can handle workflows such as • Customer support, • Data processing, • Scheduling, and • Decision-making. By integrating advanced reasoning and automation, AI agents reduce manual effort and improve operational efficiency across various business functions. ❇️ 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Our AI chatbot solutions are built to provide seamless, human-like interactions for websites, apps, and messaging platforms. These Chatbots can handle • Customer queries, • Generate leads, • Provide product recommendations and • Offer 24/7 support. With natural language understanding, they enhance user experience while reducing support costs. ❇️ 𝐀𝐈 𝐕𝐨𝐢𝐜𝐞𝐛𝐨𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 We create AI-powered voice assistants that enable natural, conversational interactions through voice. These voicebots can be used for • Customer service, • Appointment booking, • IVR automation, and more. They improve accessibility and engagement by allowing users to interact hands-free with businesses in real time. ❇️ 𝐀𝐈-𝐑𝐞𝐥𝐚𝐭𝐞𝐝 𝐓𝐨𝐨𝐥𝐬 We develop and integrate a wide range of AI tools, including automation platforms, data analytics systems, recommendation engines, and custom AI solutions. These tools help businesses streamline operations, gain insights from data, and stay competitive in a rapidly evolving digital landscape. ❇️ 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐖𝐞 𝐒𝐞𝐫𝐯𝐞 Our AI solutions cater to multiple industries such as - • Healthcare, • Finance, • E-commerce, • Education, • Real Estate, and • Customer service. We understand the unique challenges of each sector and deliver customized AI applications that drive innovation, efficiency, and business growth.

With 15+ years of hands-on industry experience and a proven track record of delivering 50+ successful projects for startups, SMEs, and enterprises, I bring a unique combination of deep technical expertise, business understanding, and creative problem-solving. Whether you need to build a scalable SaaS platform, migrate complex systems, develop an AI-powered application, or optimize an existing product, I deliver high-quality, secure, and future-proof solutions on time and within budget. 💡 Why Clients Hire Me on Upwork Proven Experience – Worked with 10+ startups from idea stage to successful launch & scaling. Full-Cycle Delivery – From product planning and architecture to deployment and post-launch support. Cross-Domain Expertise – SaaS, Fintech, AI/ML, E-commerce, Healthcare, EdTech, and Real Estate. Clear Communication – I provide proactive updates, quick responses, and crystal-clear documentation. 🛠 Core Skills & Tech Stack 🔹 Backend Development Languages & Frameworks: Node.js (Express, NestJS), Python (Django, FastAPI, Flask), Ruby on Rails, PHP (Laravel) Databases: PostgreSQL, MySQL, MongoDB, Redis, SQLite APIs: REST, GraphQL, gRPC, WebSockets, Stripe, AWS, Firebase, Twilio integrations 🔹 Frontend Development Frameworks: React.js, Next.js, Angular, Vue.js, Svelte Styling & UI: TypeScript, Tailwind CSS, Bootstrap, Material UI, Chakra UI, SCSS State Management: Redux, Context API, Recoil, Zustand 🔹 Mobile Development React Native, Expo, Flutter (Dart) 🔹 Cloud & DevOps AWS, GCP, Azure, Heroku, Vercel, Netlify Docker, Kubernetes, GitHub Actions, GitLab CI/CD, Jenkins Monitoring: Prometheus, Grafana, Sentry, ELK Stack 🔹 AI / Machine Learning / Data Science Libraries & Tools: TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, LangChain, GPT/OpenAI API Data Analytics: Pandas, NumPy, Matplotlib, PowerBI, Google BigQuery, Apache Spark NLP: spaCy, NLTK, RAG implementations 🔄 Development Workflow Version Control: GitHub, GitLab, Bitbucket Agile Tools: Jira, Trello, Slack, ClickUp Testing: Jest, Cypress, PyTest, Mocha, Postman 🌟 What You Can Expect ✅ Fast, clear, and responsive communication ✅ Scalable architecture with clean, maintainable code ✅ Security best practices implemented from day one ✅ Flexible engagement models, hourly or fixed-price 📈 Let’s Build Your Next Big Success 📩 Message me now and let’s discuss your project requirements.

Are you searching for a tech leader who delivers compliant, AI-powered healthcare platforms—from design to deployment? Look no further! 👋 👨‍💻 About Me I’m a Senior Solution Architect with 13+ years of experience building HIPAA-compliant, cloud-native, AI-driven healthcare systems for US clinics & startups. 🛠️ What I Offer: 🏥 End-to-end architecture & delivery of orthopedic & workers’ compensation platforms   (DWC 5021, RFA, QME, CMS-1500, etc.) 🗣️ AI voice charting & NLP automation   (OpenAI Whisper, GPT, medical dictation, auto-report generation) 🔗 Seamless EHR/EMR integration   (FHIR/HL7 – Athenahealth, Epic, Cerner, Allscripts) ☁️ Secure, scalable AWS deployment   (EC2, RDS/Postgres, S3, IAM, audits, backups) 🔒 Full HIPAA, CMS, & DWC compliance   (audit trails, access control, encryption) 👥 Multi-clinic, role-based platforms   (Admin, Doctor, Billing, QME, Insurer API, patient workflows) 📄 Document automation   (digital signatures, PDF workflows, templates, appeals) 🔌 API-based insurer & UR integration   (no separate insurer portal required) ⚡ Agile project management & clear communication   (on-time delivery, transparent updates) 💡 Why Choose Me? ✅ Successful US healthcare platform delivery ✅ Direct experience with orthopedic, billing, insurer workflows ✅ Leadership across UI/UX, frontend (React), backend (Node.js), AI/NLP, EHR, QA, DevOps ✅ Deep regulatory expertise: HIPAA, HL7/FHIR, CMS billing, DWC forms ✅ Clean architecture & long-term support 🤝 Let’s Discuss Your Project! I’ll support you from architecture & wireframes to dev, QA, and HIPAA-compliant cloud deployment. Ready to build something impactful? Message me today! Skills Solution Architecture, HIPAA Compliance, HL7/FHIR Integration, Athenahealth / EHR API, Node.js / Express, React.js / SPA, AWS (EC2, RDS, S3, IAM), AI Voice (OpenAI Whisper, GPT), NLP Automation, Healthcare Workflow Automation, PDF Generation / Digital Signatures, Agile / Scrum Project Management, Medical Billing (CMS-1500), Workers’ Compensation, QME & Impairment Ratings

🧑‍💻 Worked with Google and NVIDIA developers on AI projects ⭐ Top Rated AI Engineer 🔁 7+ years of AI experience 🥈 MS Data Science (Silver Medalist) 🛠️ Research skills to find the right solution 🤝 Easy to work with, long-term collaborative mindset AI Engineer with experience building different types of AI applications, including chatbots, AI agents, RAG systems, voice AI, business automation, and computer vision solutions. I can help you understand the problem, identify what can be automated or improved with AI, and then design, develop, and deploy a solution that supports your business or product growth. 🔹 Open Source Credibility Worked with Google and NVIDIA developers on advanced AI model implementations. Experienced in building high-quality, production-level code aligned with industry engineering standards. 🔹 Some examples of my work: → Developed a healthcare support automation chatbot that reduced customer support workload by around 40%. → Built an AI grading system processing 150K+ daily evaluations for students across different USA states. → Built LangGraph-based medical assistant Agents using FHIR R4 data and Google Cloud Healthcare API. → Created document AI pipelines to extract content from complex PDFs and evaluate curriculum alignment with evidence. → Developed Multi-Agent customer support chatbots for FAQs, product search, order management, WhatsApp, and voice support. → Built a blood test recommendation system using hybrid multi-query RAG to recommend relevant tests from user symptoms and goals. → Built an AI-powered baby name intelligence system using phonetic analysis, similarity search, scoring algorithms, and LLM reasoning. → Contributed AI/ML code to NVIDIA, Google KerasCV, and KerasIO open-source repositories. 🔹 Problems I Can Help You Solve → Your chatbot gives unreliable or hallucinatory answers. → Your RAG system is missing the right information. → Your AI agent cannot follow business logic consistently. → Your OCR pipeline breaks on complex PDFs. → Your voice assistant feels slow or unnatural. → Your AI system works locally but struggles in production. → Your LLM costs, latency, or failure rate are becoming hard to manage. 🔹 Areas I Can Help With AI use cases | AI chatbots | RAG systems | AI agents | workflow automation | customer support automation | voice AI | internal knowledge assistants | PDF/OCR data extraction | API integrations | AI backend development | production optimization | Computer Vision 🌍 Industries I’ve Served: 🏥 Healthcare | 📚 Education | 🤖 Business Automation | 📈 Marketing | 💰 FinTech 🛠️ Tech Stack → LLMs: OpenAI, Claude, Gemini, Hugging Face → AI Frameworks: LangChain, LangGraph, RAG, Rasa → Voice AI: Whisper, STT/TTS, Real-time Streaming → Vector DBs: Pinecone, Chroma → ML/CV: TensorFlow, PyTorch, Keras, OpenCV → Deployment: FastAPI, Docker, AWS (Lambda, EC2), GCP, Triton, TensorRT I'm available for short and long-term projects, with a focus on building AI systems that are reliable, scalable, and production-ready. If you’re building an AI product and need someone who understands both research and production engineering, let’s discuss your project.

👋 Hi, I’m Claudio. Need AI chatbot development, AI integration, or AI automation that delivers measurable ROI (conversion uplift, fewer tickets, faster ops), not a demo? I’m an AWS-certified engineer and ex co-founder/CTO, so I’m business-oriented by default: every llm, machine learning, api, n8n, AI automation, and ai agent choice is evaluated against KPIs, risk, and cost. I wrote my first lines of code at 10. By 14, I was already building and selling software online. That “build-it-for-real” mindset is why clients hire me for AI integration and AI chatbot development: I design, implement, harden, and scale production systems end-to-end, and I bring 20+ years of experience doing it. 🧠 Why clients hire me 1️⃣ CTO & Co-founder perspective: every AI integration decision supports product, risk, costs, and ROI. 2️⃣ Production-first engineering: secure api, monitored llm, traceable ai agent, auditable n8n + AI automation. 3️⃣ Outcomes-driven delivery: machine learning + AI chatbot development tied to measurable KPIs. 📈 Proof in outcomes 💳 Nexi (EU payments): AI integration + machine learning recommender + low-latency api → +50% conversion on millisecond checkout flows. 🧾 Accountants copilot: AI chatbot development (llm + RAG) + RBAC + audit logs → faster compliant replies and +30% NPS. 🎟️ Tap to Donate: AI integration + secure api + offline-first mobile POS → ~50% faster donation flow, shorter queues, higher donor capture. 📊 Analytics assistant: AI chatbot development (llm) + semantic/SQL routing + access controls → ~30% fewer support requests. ⚙️ Ops delivery: AI automation with n8n + api connectors → 30–60% fewer manual steps and faster cycle time. 🤖 Workflow ops: ai agent + llm tools + approvals → 25–40% faster handling time with full traceability. 🎯 How I drive ROI (what you get) 📌 AI automation with n8n: n8n approvals + n8n retries + n8n run logs + an extra n8n safety layer → fewer errors, auditable delivery. 📌 ai agent workflows: each ai agent has explicit tools, permissions, rate limits, and guardrails — one more ai agent check for risky actions. 📌 api hardening: api contracts, api tests, api observability → predictable latency and fewer incidents. 📌 machine learning in production: machine learning evaluation + drift monitoring + another machine learning KPI loop → sustained uplift, not one-off spikes. 📌 llm safety by design: llm grounding + PII masking + llm fallbacks → higher trust and lower compliance risk. 📌 AI integration at scale: AI integration patterns + tenant isolation + staged rollout → safer launches across teams. 📌 AI chatbot development that converts: AI chatbot development tuned on metrics + AI chatbot development UX iterations → higher CSAT/NPS, fewer escalations. 🚀 Core services ✅ AI integration: connect data + tools with secure api layers, monitoring, and governance. ✅ AI chatbot development: llm + RAG, escalation flows, evals, and full traceability. ✅ AI automation: n8n orchestration, policy checks, retries, and auditable logs. ✅ AI agent builds: tool calling + permissions + safe fallbacks, integrated via api. ✅ Machine Learning & MLOps: training, evaluation, drift, retraining — tied to ROI. 🛠 Tech (production-first) AWS (Lambda/ECS/EKS, DynamoDB, S3, CloudFront) + Terraform/CDK. Backend: Python (FastAPI) and Node.js/TypeScript. Data: Postgres (pgvector), MySQL, MongoDB. Frontend: React/Next.js, React Native. LLM stack: OpenAI/ChatGPT API and AWS Bedrock, LangChain-style RAG pipelines, tool calling, structured outputs, and ai agent patterns. Automation: n8n for AI automation workflows (webhooks, retries, approvals) and api-driven integrations. Hardening: IAM least privilege, KMS encryption, RBAC, PII masking/redaction, audit logs, integration testing, observability, CI/CD. 🎁 Bonus (free) After our first chat, I’ll send a short “AI Readiness” checklist covering data access, permissions, llm safety, machine learning evaluation, api design, and n8n automation. ✉️ 𝗦𝗲𝗻𝗱 𝗺𝗲 𝘆𝗼𝘂𝗿 𝘂𝘀𝗲-𝗰𝗮𝘀𝗲 (𝗔𝗜 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 / 𝗔𝗜 𝗰𝗵𝗮𝘁𝗯𝗼𝘁 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 / 𝗔𝗜 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻). 𝗜’𝗹𝗹 𝗿𝗲𝗽𝗹𝘆 𝘄𝗶𝘁𝗵 𝗮 𝗳𝗿𝗲𝗲 𝟯𝟬-𝗺𝗶𝗻 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗿𝗲𝘃𝗶𝗲𝘄 + 𝗮 𝟭-𝘄𝗲𝗲𝗸 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗽𝗹𝗮𝗻. 📆 Last Updated: 2026-05-07

I build production-ready AI systems RAG pipelines, AI agents, and LLM-powered apps , that turn messy data and manual processes into reliable, automated workflows. 21 projects delivered on Upwork with a 100% Job Success score. Most AI projects look great in a demo and break in production. I focus on the opposite: systems that stay accurate, fast, and affordable once real users and real data hit them. Here's what I help clients build: • RAG systems : chatbots and Q&A tools that answer from your own documents, knowledge bases, and data, with proper retrieval and minimal hallucination • AI agents & automation : multi-step agents that research, summarize, and take actions using LangChain and LangGraph • LLM integration : connecting OpenAI, Anthropic Claude, and open-source models (Llama, Mistral) into your product or internal tools • Optimization : fine-tuning, prompt engineering, and caching to push accuracy up and API costs down My typical stack : Python, LangChain, LangGraph, LlamaIndex, FastAPI, vector databases (Pinecone, Chroma, FAISS), Hugging Face, Docker, and AWS/GCP/Azure. I communicate clearly, scope honestly, and tell you when an AI solution is overkill versus when it's the right call. That's a big part of why my clients keep coming back. A few recent results: • Built a RAG chatbot over 500+ documents that cut support response time more than half. • Reduced LLM API costs by 40% through prompt optimisation and caching. • Shipped an AI agent that automated 10 tasks, saving the team 20 hours per week. If you have an AI idea anything from a quick prototype to a full production system send me a message describing what you're trying to build. I'll reply with an honest take on how I'd approach it, what it would realistically take, and whether it's worth doing.

AI Automation for Leads & Appointments | GHL, Voice AI & n8n Most businesses do not need another disconnected tool. They need a system that responds to leads quickly, qualifies opportunities, books appointments, follows up consistently, and keeps sales and operations moving. I build AI-powered lead-response, CRM, appointment booking, and workflow automation systems for agencies, service businesses, real estate teams, home-service companies, SaaS businesses, and operations-heavy teams. My work helps clients reduce missed leads, improve response times, recover no-shows, remove manual admin work, and create a clearer sales process from first inquiry to booked appointment. What I build: • GoHighLevel CRM setup, pipelines, workflows, automations, and SaaS configurations • AI voice agents and chat agents for lead qualification, booking, FAQs, and follow-up • Lead capture and follow-up through SMS, email, calls, and messaging workflows • Appointment booking, reminders, missed-call text back, and no-show recovery systems • Lead reactivation campaigns for old or unresponsive contacts • Sales funnels, landing pages, and conversion-focused follow-up sequences • n8n and Make workflow automation • API, webhook, CRM, calendar, payment, and third-party integrations • Analytics, tracking, reporting, and operational dashboards My usual stack includes GoHighLevel, n8n, Make, Vapi, Retell, ElevenLabs, APIs, webhooks, GA4, Search Console, and CRM integrations. I focus on practical systems, not automation for the sake of automation. Every workflow is built around how your business actually operates: where leads enter, how they are handled, where opportunities get stuck, and what needs to happen next. You get strategy, implementation, testing, documentation, and a system your team can actually use without depending on constant manual work. I also support funnel optimization and SEO when they are part of a broader lead-generation, tracking, and conversion system. Why clients hire me: • I think in systems, not isolated tools • I connect marketing, sales, and operations • I focus on measurable outcomes, not unnecessary complexity • I build reliable automations that are easy to manage • I provide clear documentation and handover If leads are coming in but follow-up is slow, inconsistent, or manual, send an invite and share how your current process works.

I'm a Machine Learning and Computer Vision specialist with a passion for building smart, end-to-end AI systems that solve real problems. From text and images to audio and video, I design intelligent pipelines that automate tasks, enhance user experience, and unlock value from data. Over the years, I’ve worked on everything from GenAI chatbots and document-based RAG systems to real-time object detection and audio-driven applications. Lately, I’ve also been diving deep into Voice AI, building systems that can listen, understand, and talk back. Whether it's speech-to-text, text-to-speech, or integrating voice interfaces into larger workflows, I love pushing the boundaries of how humans interact with machines. Here’s what I bring to the table: LLMs & GenAI: Chatbots, Retrieval-Augmented Generation (RAG), Q&A systems, summarization, using tools like LangChain, Hugging Face, and OpenAI APIs. Voice AI: Custom speech-to-text and text-to-speech systems, voice command agents(Vapi), and audio integration with camera/GPS inputs. Computer Vision: Custom models for object detection, tracking, image classification, and real-time video analysis. Automation & Integration: AI-driven data extraction, intelligent workflows, DevOps streamlining, and smart assistants. Media Processing: Audio/image manipulation using advanced ML techniques. Full-Stack AI Deployment: Scalable APIs, clean UIs, and production-ready apps using FastAPI, Django, and Docker. I combine deep technical knowledge with a hands-on, solution-first mindset. My goal is always to build systems that work beautifully in the real world, not just on paper. Whether you're starting from scratch or optimizing an existing pipeline, I can help you turn AI ideas into real impact. Let’s build something amazing together.

Hey, I am Hamza, an AI Engineer and Full-Stack Developer with 3+ years of professional experience building intelligent AI systems, modern web applications, and scalable cloud infrastructure. I specialize in developing AI agents (voice & text), automating workflows, integrating REST APIs, and deploying production-ready applications using DevOps best practices. My skill set blends AI automation, backend engineering, frontend development, and cloud deployment, giving you a complete end-to-end solution, from idea to fully deployed system. 💡 Core Services 1. AI Agents, Voice Bots & Automation AI voice agents handling 1,000+ daily interactions Customer support, sales calls, lead qualification, and appointment scheduling Tools: Whisper, ElevenLabs, Twilio Voice, DashaAI, BlandAI RAG systems, LLM-based automation, intelligent workflows API-backed AI integrations & custom orchestration 2. Full-Stack Web Development Backend engineering with Django + Python Frontend interfaces built with React, JavaScript, and Tailwind High-performance, secure web applications REST API development & third-party integrations Dashboards, authentication, payment systems, and custom tools 3. AI Integration Into Existing Applications Chatbots, RAG pipelines, voice AI, LLM features AI-powered search, data processing & automation layers Integration with web apps, CRMs, SaaS tools, and APIs 4. Cloud Deployment, DevOps & Infrastructure Dockerized deployments on AWS, Heroku, VPS CI/CD pipelines: GitHub Actions, GitLab CI Nginx setup, server optimization, system monitoring Scalable, secure cloud architecture planning 🧠 Tech Stack Languages: Python • JavaScript • TypeScript • SQL • C/C++ Frameworks: FastAPI • Flask • Django • DRF • GraphQL • Next.js • Remix.js ML: PyTorch • TensorFlow • Hugging Face • RAG • Feature Eng. Data: PostgreSQL • MySQL • MongoDB • DynamoDB • Redis • Pinecone Cloud/Infra: AWS • GCP • Terraform • Kubernetes • Docker • AWS SAM Ops/Obs: CI/CD • Prometheus • Grafana • OpenAPI • Pytest • Postman