AI Engineer specializing in RAG systems, LLM applications, and AI automation workflows. I build production-ready AI systems that work reliably in real-world use. If you're building an AI system, the biggest challenge is not generation it's reliability, retrieval, and real-world performance. I specialize in building production-ready AI systems using RAG, LLMs, and automation workflows that are designed to work beyond demos. What I can help you with: • RAG systems (retrieval-augmented generation) • AI agents and automation workflows • LLM integration (OpenAI, Claude) • API-based AI systems and backend development • Data pipelines and structured output systems I focus on: • Accurate retrieval (vector search, filtering, ranking) • Stable outputs (structured responses, validation) • Scalable architecture (real usage, not prototypes) Tech stack: Python, FastAPI, LangChain, LangGraph, Pinecone, OpenAI, Claude, APIs, Automation, MCP, Odoo Why work with me: I don’t just build features I design systems that actually work in production and scale with real users. If you're looking for someone who understands both AI and system architecture, I can help you build it right.

Hi 👋 I help companies move beyond AI prototypes and build production-ready systems, especially AI Agent solutions, RAG pipelines, and LLM-powered automations that actually work in real-world environments. Recently, I built a RAG-based AI Agent that indexed thousands of documents and enabled fast, accurate semantic search across internal data, significantly improving how teams access and use information. 𝐖𝐡𝐚𝐭 𝐈 𝐭𝐲𝐩𝐢𝐜𝐚𝐥𝐥𝐲 𝐛𝐮𝐢𝐥𝐝: AI Agent systems that automate workflows end-to-end Intelligent AI Agent pipelines with reliable retrieval (RAG) FastAPI-based backends powering AI Agent applications Scalable AI Agent integrations across APIs, databases, and cloud systems 𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤: I handle development directly (no outsourcing) and follow strict confidentiality and code ownership practices. My focus is on delivering systems that are accurate, maintainable, and production-ready, not just demos. 𝐓𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤: Python, FastAPI, LangChain, OpenAI/Claude APIs, vector DBs, AWS/GCP, Docker If you're looking to build or scale an AI Agent system that actually performs in production, happy to connect and discuss.

AI & Generative AI Full-Stack Developer | 10+ Years Experience Looking for a reliable full-stack developer who can build AI-powered, scalable web & mobile products with clean code and modern UX? You’re in the right place. I bring 10+ years of hands-on experience delivering high-impact applications for startups and growing businesses across the US & Europe. What I specialize in: AI & Generative AI: LLM integrations, AI-powered features, automation, chatbots Frontend: React.js, Next.js, Angular, Vue.js Backend: Node.js, Express.js, PHP, Laravel Python Backend: Focus on Python frameworks such as Django (for large, "batteries-included" apps), Flask (for lightweight flexibility), or FastAPI (for high-performance APIs). Mobile and Desktop: React Native, Electron, Hybrid Apps Stacks: MERN, MEVN, MEAN, LAMP, Django, Flask/FastAPI CMS, No-Code & Design Capabilities: Beyond custom full-stack development, I have extensive experience building and customizing high-converting ecosystems using WordPress, WooCommerce, Shopify, Wix, PHP, Laravel, Duda, Framer, and Webflow. Combining this technical versatility with a strong eye for end-to-end UI/UX design, I ensure your platform is not just functional, but visually stunning and optimized for conversions. Whether you're: Launching an MVP Scaling an existing product Or need long-term technical support I focus on performance, maintainability, and business outcomes, not just code. Why clients choose me: Clean, scalable architecture Pixel-perfect UI & intuitive UX Fast communication & reliability Proven success with repeat clients Let's build something impactful. Message me to get started. Best regards, Sourabh

AI products fail when the Python backend cannot keep up with the AI layer. I own both. FastAPI, LangChain, RAG pipelines, 1.5 years building Healthcare AI and Digital Pathology systems on GCP, 100% JSS, Top Rated Plus. What I have built: AI-Powered Medical Applications Ecosystem (1.5 years): full-cycle development of a Healthcare AI platform. RAG pipelines for semantic search over vector databases, custom AI agent builder, SVS pathology file viewer with image fragment extraction, chatbot interface for real-time model communication. Solo technical implementation from architecture design to GCP deployment and production maintenance. Team of 5-10. Stack: FastAPI, React, TypeScript, Next.js, OpenAI, LangChain, PGvector, Redis, PostgreSQL, GCP, Docker. Blockchain Web Platform (150K+ concurrent users): crypto wallet integrations, real-time content delivery across 23,000+ crypto tokens, scalable architecture supporting 150K+ simultaneous users. 1 year, team of 5-8. Stack: React, Django, PostgreSQL, Docker. Real Estate AI Chatbot: natural language property search with map visualization, route planning, nearby points of interest, and public registry data enrichment. Stack: Python, FastAPI, React, LangChain, LangGraph, Google Maps API, PostgreSQL, Docker. On Upwork: Voice AI automation using Deepgram transcription, CRM integration, and AWS CloudFront setup (5 stars). Airtable and CRM automation with transaction sync and refund logic (5 stars). How I work: Architecture first, then code. I own the technical implementation end-to-end: architecture design, technology selection, infrastructure setup, and production maintenance. Every project has documented architectural decisions, Pytest coverage, and code reviews before shipping. I operate with the full backing of Meduzzen's senior engineering team. Every commit I ship is peer-reviewed by our internal technical leads before deployment. If I am unavailable, your sprints do not stop: a fully briefed Meduzzen engineer provides immediate coverage. One point of contact, zero single-point-of-failure risk. Core stack: Python, FastAPI, LangChain, LangGraph, OpenAI API, React, Next.js, TypeScript, PostgreSQL, Redis, Docker, GCP, GitHub Actions, Celery, WebSockets. If you are building an AI product that needs a Python backend and a solid AI integration layer, send me the architecture challenge. I will tell you how I would approach it.

Building production-ready AI systems, automated workflows, and robust data architecture. I am an expert AI Engineer and Full Stack Developer specializing in the design and architecture of real-world intelligent systems. I don't just write scripts; I build scalable production platforms, robust backend APIs, and complex data pipelines that turn raw information into high-quality business solutions. If you need a technical expert to design a long-term, high-performance model, implement an autonomous agent, or scale your development to the next phase, you are in the right place. 🚀 WHAT I BUILD & DESIGN 1. Data Pipelines & System Architecture Data Engineering: Designing high-performance data pipelines to extract, clean, and process structured and unstructured data. Production Systems: Architecting scalable backend systems and cloud infrastructure (Azure, AWS) for high-availability platforms. Real-World Integration: Seamless API and database integration to connect your proprietary data to modern AI models. 2. AI Agents & Automated Workflows Workflow Automation: Building complex, automated workflows using Python and n8n to streamline your business operations. Autonomous Agents: Developing intelligent agents that interact with tools, execute tasks, and make decisions based on real-time data. LLM & Prompt Engineering: Advanced prompt engineering, fine-tuning, and integrating top-tier LLM models (GPT-4, Claude) into your core product. 3. Full Stack & API Development Backend APIs: Designing clean, secure APIs and microservices using Python (FastAPI/Django) and Node.js. End-to-End Development: Taking your product from the initial design phase all the way to production deployment. 💻 MY TECHNICAL STACK & TOOLS AI & Models: Python, LLMs, LangChain, LlamaIndex, Vector Databases, Custom Agent Frameworks. Engineering & Architecture: System Design, Data Pipelines, RESTful APIs, Microservices. Backend & Full Stack: Node.js, Python, SQL/NoSQL Databases. Cloud & Automation: n8n, Azure, AWS, Docker, CI/CD pipelines. 💡 My Engineering Philosophy: I focus on quality code and scalable architecture. Whether we are building an MVP or upgrading an enterprise platform, my goal is to deliver a high-performance system that solves your real business challenges. Are you ready to build a production-grade AI system? Let’s talk. 👉 Click "Invite to Job" to start a conversation about your project and technical needs.

Hi! I'm an expert backend developer. Python, Django, Flask, FastAPI, Node.js are my key skills. The work I care about is the stuff under the surface: APIs, databases, real-time systems, and lately, the infrastructure holding AI products together. Most of my backend work has been in FinTech and SaaS: insurance management, custom accounting software, behavioral finance. These tend to be the projects where the backend actually matters: real-time data, concurrent users, and zero tolerance for downtime. I've also worked across health, EdTech, and real estate. 𝗪𝗵𝗮𝘁 𝗜 𝗢𝗳𝗳𝗲𝗿: • Custom Python/Node solutions • API development and Integration • AI/ML Model Development (Supervised & Unsupervised Learning) • Natural Language Processing (NLP) and Computer Vision • AI-Powered Chatbots and Voice Agents • AI Automation and AI Agents • Data Analysis and Predictive Analytics • MLOps and Model Deployment using Docker, Kubernetes, or Cloud Platforms (AWS, GCP, Azure) 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: • 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python · Django · FastAPI · Flask · Node.js · Express.js · REST APIs · GraphQL · WebSockets • 𝗔𝗜/𝗠𝗟 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: TensorFlow · PyTorch · Keras · Scikit-learn · Computer Vision · NLP • 𝗗𝗮𝘁𝗮 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴: Pandas, NumPy, Spark • 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: FastAPI, Flask, Django REST Framework • 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: PostgreSQL · MySQL · MongoDB · Redis · Supabase · SQLite • 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: AWS SageMaker, Azure ML, GCP AI Platform • 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Docker, Kubernetes, CI/CD Pipelines • Frontend (when needed): React · Angular · TypeScript 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲? • Proven track record of delivering AI/ML solutions that drive business growth • Strong problem-solving skills with a focus on data-driven decision-making • Expertise in building AI-powered chatbots, voice agents, and AI automation • Collaborative and results-oriented approach for building custom backends. • Effective communication and timely project delivery Feel free to reach out to discuss how I can add value to your project.

Top Rated AI engineer with 100% Job Success, RAG systems, AI agents, and production LLM applications shipped on time, under budget. I lead AI delivery at IndaPoint Technologies, where I've personally architected 16+ production AI systems across healthcare, legal, HR, and ad-tech. Recent client work includes a $9.7K Custom GPT engagement (5-star, repeat client) and AI-integrated mobile apps with end-to-end ownership. What I build for clients on Upwork: - RAG systems grounded on your private data, LangChain, LlamaIndex, OpenAI, Claude, Pinecone/Weaviate/pgvector. Auditable, hallucination-resistant, production-tested. - AI agents and workflow automation, multi-agent systems with LangGraph for document processing, lead qualification, research automation, and ops workflows. - Custom GPTs and LLM integrations, fine-tuning, function calling, MCP-style tooling that connects AI to your internal systems. - AI-powered web and mobile apps, React, Next.js, FastAPI, Flutter, Node.js. AI woven in as native intelligence, not a feature added afterward. How I work: Fast discovery, clear scope, prototype within days, production engineering with testing. I flag risks early and ship without surprises. Strong written and spoken English; comfortable on calls with technical and non-technical stakeholders. Stack: Python, FastAPI, React, Next.js, Node.js, Flutter, LangChain, LlamaIndex, OpenAI API, Anthropic API, Pinecone, Weaviate, pgvector, AWS, Azure, GCP. AWS Certified Solutions Architect. SOC2/GDPR/HIPAA-aligned engineering practices. If you're building serious AI, RAG, agents, custom GPTs, or AI features inside your product, let's talk.

I build Production Ready AI Systems Not Just Demos. I help startups, SaaS teams, and enterprises design and deploy real world AI applications powered by LLMs, RAG pipelines, and scalable backend infrastructure that work reliably in production. If you need more than a chatbot prototype and want an AI system your team can actually depend on, you are in the right place. What I Specialize In • Retrieval Augmented Generation RAG Systems • LLM Applications & AI Agents • AI Systems & Knowledge Retrieval Platforms • Production Grade FastAPI and Django Backends • Data Pipelines ETL ELT & Warehousing • MLOps Deployment Monitoring & Evaluation I build end to end AI platforms covering: Data, Retrieval, Reasoning, API, Deployment and Monitoring I focus on systems that remain stable under real usage: • Accuracy optimized RAG using chunking metadata hybrid search and reranking • Guardrails evaluation pipelines and hallucination reduction • Scalable async architectures using FastAPI Celery and background workers • Secure authentication permissions and integrations • Reproducible pipelines with testing monitoring and logging • Clean documentation for long term maintainability Typical Projects I Deliver • AI Knowledge Bases trained on company data • Internal AI copilots and assistants • Document intelligence and search systems • Multi agent automation workflows • LLM powered SaaS features • Enterprise data retrieval platforms • AI APIs ready for production deployment Tech Stack & Tools • AI & LLMs: OpenAI GPT Claude Llama Mistral • RAG: LangChain LlamaIndex Vector Databases Pinecone Weaviate Qdrant • Backend: Python FastAPI Django • Data: Airflow dbt PostgreSQL Warehouses ETL ELT • Infrastructure: Docker AWS GCP CI CD Monitoring • MLOps: Evaluation pipelines experiment tracking deployment automation Why Clients Work With Me • Production first mindset not experimentation only • Clear architecture decisions and realistic timelines • Fast communication and structured updates • Clean scalable maintainable codebases • Strong ownership from idea to deployment Let’s Build Your AI System

TOP RATED ELITE Freelancer on Upwork with 6+ years of experience building scalable web applications, AI-powered platforms, automation systems, and cloud-native solutions for startups and enterprises. I specialize in combining AI, backend engineering, data workflows, and modern frontend technologies to develop reliable, production-ready, and business-driven software solutions. I help businesses automate workflows, build intelligent AI systems, develop scalable SaaS platforms, and launch high-performance applications faster with clean architecture and performance-focused development. What I Bring to Your Project - End-to-end product development from architecture to deployment - AI-powered applications and intelligent automation systems - Scalable backend APIs and microservices - Modern, responsive frontend applications - Data engineering, ETL pipelines, and workflow automation - Cloud deployment, DevOps, and infrastructure optimization - Clean, maintainable, production-ready code - Fast communication and reliable delivery Core Expertise: 1. Python Backend Development - FastAPI, Django, Flask - REST APIs & Webhooks - Microservices Architecture - Authentication & Secure Backend Systems - API Integrations & Third-Party Services - Automation Scripts & Backend Optimization - Scalable System Design 2. Data Engineering & Data Processing - ETL Pipelines & Data Automation - Data Processing & Transformation - Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS) - PostgreSQL, MongoDB, DynamoDB - Workflow Automation & Data Synchronization - Intelligent Document Processing - Semantic Retrieval Systems 3. Front-End Development - React.js, Next.js, Vue.js - TypeScript & JavaScript (ES6+) - Responsive UI/UX Development - Frontend Performance Optimization - API Integration & State Management 4. AI Engineering & Generative AI - OpenAI, GPT-4, Claude, Gemini, LLaMA, Mistral - AI Agents & Autonomous Workflows - LangChain, LangGraph, AutoGen - Conversational AI & AI Chatbots - RAG (Retrieval-Augmented Generation) - Semantic Search & Vector Databases - AI Automation & Intelligent Workflows 5. AI SaaS Development: - RAG (Retrieval-Augmented Generation) - AI Voice Agents & Real-time AI Systems - Semantic Search & Vector Databases - AI Automation & Intelligent Workflows - Text Processing, Summarization & Data Extraction 6. Cloud & DevOps - AWS (EC2, Lambda, S3, CloudFront, DynamoDB) - Docker & CI/CD Pipelines - Serverless Applications - Deployment Automation - Scalable Cloud Architecture AI Tools & Technologies - Vector Databases: Pinecone, ChromaDB, Weaviate, FAISS - AI & LLMs: OpenAI, GPT-4, Claude, Gemini, LLaMA, Mistral - AI Frameworks: LangChain, LangGraph, AutoGen, PyTorch, TensorFlow - Automation: n8n, Make, Zapier, Airtable, Notion - Voice AI: Twilio, Deepgram, ElevenLabs, VAPI, Cartesia I focus on building scalable, AI-driven, and enterprise-grade solutions that create measurable business impact. I value clean architecture, performance optimization, scalability, and long-term maintainability in every project. If you are looking for a developer who understands both engineering and business requirements and can deliver reliable, scalable, and AI-powered solutions, I would be happy to help bring your project to life.

𝟐𝟏𝗠 𝘂𝘀𝗲𝗿𝘀. 𝟭𝟬𝟬+ 𝗱𝗼𝗰𝗸𝗲𝗿𝗶𝘇𝗲𝗱 𝗔𝗜 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀. 𝟰𝟬% 𝗹𝗮𝘁𝗲𝗻𝗰𝘆 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻. That's what I delivered at my last role. I build AI backend systems that scale. I'm a 𝗦𝗿. 𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 and 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 with 𝟴+ 𝘆𝗲𝗮𝗿𝘀 of experience specializing in scalable backend systems, AI model deployment, and microservices architecture. ⸻ 𝗥𝗲𝗰𝗲𝗻𝘁 𝗪𝗼𝗿𝗸 → 𝗨𝗻𝗱𝗲𝘁𝗲𝗰𝘁𝗮𝗯𝗹𝗲 𝗔𝗜 (USA): Scaled AI backends to 21M+ users with 100+ GPU services and FastAPI microservices. I build RAG pipelines, AI Agents, train and fine-tune ML models, and ship them to production at scale - plus ChatGPT-style streaming (Redis + SSE) and 40% latency cuts. → 𝗢𝗿𝗮𝗻𝗴𝗲𝗦𝗵𝗶𝗻𝗲 (USA): Led backend for multi-tenant e-commerce platform. Built CDC pipelines syncing PostgreSQL to Elasticsearch in real-time. Integrated Stripe with multi-currency checkout. → 𝗧𝗵𝗲 𝗘𝗻𝘁𝗲𝗿𝘁𝗮𝗶𝗻𝗲𝗿 (UAE): Built AES-encrypted REST APIs with JWT, Auth0, and Stripe B2B payments. Refactored monoliths into Dockerized Flask, Django microservices. Scaled async workflows with Celery, RabbitMQ, and SQS. Achieved 30% DB load reduction through LRU caching across 5 deployment environments. → 𝗦𝗵𝗮𝘂𝗸𝗮𝘁 𝗞𝗵𝗮𝗻𝘂𝗺 𝗛𝗼𝘀𝗽𝗶𝘁𝗮𝗹 (Pakistan): Built ETL pipelines, data warehouse, and HIPAA-compliant Power BI dashboards for healthcare analytics. ⸻ 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Multi-agent systems, RAG pipelines, GenAI apps, ML training, model fine-tuning 𝗔𝗜 𝗦𝗮𝗮𝗦 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: Multi-tenant LLM products, usage-based billing, streaming chat, AI agents 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗕: Qdrant, hybrid search, reranking, semantic chunking, embeddings 𝗔𝗜/𝗠𝗟 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: GPU services, model versioning, async inference, LLM integration 𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: WebSockets, SSE streaming, Redis pub/sub, chat interfaces 𝗦𝘆𝘀𝘁𝗲𝗺 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: ETL, DB & codebase (Bubble → Supabase), zero-downtime, data integrity 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀: FastAPI, Django, Flask, Celery, RabbitMQ, event-driven architecture 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: PostgreSQL, MongoDB, Elasticsearch, connection pooling, CDC pipelines 𝗣𝗮𝘆𝗺𝗲𝗻𝘁𝘀: Stripe (hold, capture, refund), multi-currency, subscription billing 𝗖𝗹𝗼𝘂𝗱: AWS (Lambda, SQS, S3, App Runner), GCP, DigitalOcean, SaladCloud (GPU) 𝗗𝗲𝘃𝗢𝗽𝘀: Docker, GitHub Actions, CI/CD, multi-environment deployment ⸻ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 ✓ 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 on Upwork ✓ I respond within 1 hour ✓ Clear communication, no surprises ✓ I ship production-ready code, not prototypes ⸻ Let's discuss your project. Send me a message with your requirements and I'll share how I'd approach it.