I build AI-powered full-stack systems and backend APIs for SaaS, e-commerce, and logistics startups — helping founders ship production-ready products without hiring a full engineering team.
async def execute_neural_pipeline(stream_payload):
# Real-time sub-second AI processing loop
context = await chroma_db.vector_search(stream_payload)
response = await groq_llm.generate(context)
return {"status": "200 OK", "latency": "sub-second"}I am a final-year B.Tech CS student at Jain University with a track record of delivering production-grade full-stack and AI/ML systems. With 1 year of freelance experience, I've successfully built solutions for real clients across SaaS, e-commerce, and logistics.
Beyond coding, I am an IEEE-published researcher focused on optimizing AI pipelines and scalable architectures. I thrive on solving complex problems with robust, elegant solutions.
LangChain RAG pipelines, intelligent chatbots, computer vision APIs, and custom ML models — turning your data into automated decision-making.
React/Next.js frontends, FastAPI/Node backends, auth, payments, dashboards — end-to-end products shipped production-ready.
Task queues, real-time WebSocket APIs, Kubernetes deployments, and CI/CD pipelines — infrastructure that scales with your business.
Cities waste billions on inefficient garbage collection because they can’t predict where waste accumulates. I built an AI platform that uses real-time computer vision and a retrieval-augmented forecasting engine to predict next-day waste volumes across 4 Indian cities with 89% accuracy. Custom-trained YOLOv11 (mAP50-95: 0.6503) + LangChain RAG pipeline validated at 0.92 faithfulness via RAGAS. IEEE paper under review.
Enterprise-grade AI media intelligence engine engineered for sub-second speech recognition (<950ms latency), verbatim transcript extraction, and real-time WebSocket token streaming. Decouples compute heavy loads with Redis Redlock distributed synchronization, RabbitMQ Dead Letter Queue self-healing recovery, and automated executive HTML reporting enforcing 99.99% operational SLA compliance.
Autonomous multi-modal AI executive suite designed to operate an entire digital agency seamlessly. Combines reactive task routing, automated contract generation, calendar intelligence, client communications, and real-time financial reporting into a self-contained autonomous agent workflow powered by LangChain and PostgreSQL.
A fully live, high-concurrency e-commerce platform built to handle thousands of simultaneous users without breaking. Resolved critical server deadlocks by re-architecting to Gevent-backed WebSockets, achieving under 50ms real-time dashboard updates. Integrated Stripe payments, Google OAuth, and a Groq LLM customer support chatbot delivering responses in under 2 seconds — live in production.
Top 10 Finalist out of 7,000+ registrants — AtomQuest Hackathon 2026. Built a full-stack enterprise goal-tracking platform with React 18, Vite, Prisma, and Express.js. Features AI-augmented quarterly goal intelligence, role-based access portals, and real-time achievement tracking — shipped from zero to live in hackathon timeframe.
Built to solve the problem of passive learning in online education. An intelligent gamified assessment engine featuring custom evaluations (node matchers, explanatory MCQs) with a dynamic reward system (Gincoins, XP, AI-powered grading) designed to dramatically increase learner engagement compared to static assessments. Full-stack architecture with Next.js, Node.js, and MongoDB.
Next-generation enterprise security dashboard built for security teams and SaaS companies needing real-time threat intelligence. Features complex data visualisation, seamless authentication flows, profile synchronisation, and live metric monitoring. Demonstrates skills in building production-quality analytics dashboards with responsive architecture.
Select your product requirements for an instant turn-around estimate.
Open to freelance contracts and project-based collaborations — SaaS, AI integrations, and distributed systems. Typically available within 48 hours.
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