Full-Stack Software Engineer · AI/ML Engineer · Builder of 7 Live Products

B.Tech CSE @PSIT Kanpur | 🏆 National Finalist @IndiaInnovates2026 | Engineering Full-Stack Systems with React · Node.js · MongoDB | Building Agentic AI · RAG Pipelines · LangChain workflows | 7 Live Deployed Projects spanning E-Commerce, Civic-Tech, Multi-Tenant SaaS & AI Ops | 200+ LeetCode Problems | HackerRank 4★ Java | AWS Summit Champion | Simulations @JP Morgan & @Deloitte | Hardcore DSA Practitioner ❤️ | Open Source Contributor

🏗️ Full-Stack Engineer & AI/ML Builder — B.Tech Computer Science, PSIT Kanpur

🚀 Shipping full-stack products end-to-end — 7 of my projects are live and deployed, not just repos

🧠 Layering LLM intelligence on top of traditional stacks — RAG pipelines, semantic search, LangChain workflows, prompt engineering

🏆 National Finalist, India Innovates 2026 — for CivicSentinel, an AI civic-tech platform

🔐 Comfortable across the full stack: auth systems, payment infra (Stripe), multi-tenant architecture, database design, deployment

💼 Completed structured engineering simulations at JP Morgan (Software Engineering) and Deloitte (Technology Consulting)

❤️ Hardcore DSA practitioner — 200+ problems solved on LeetCode, HackerRank 4★ in Java

☁️ AWS Summit Champion — AWS Summit India Online 2026

🎓 MERN Full-Stack Certified — Tryst, IIT Delhi

📞 Open to Software Engineering Internships, AI/ML roles, and open source collaboration

philosophy: "Ship fast, engineer for scale, design with intent"currently:
building: "Production-grade AI-powered SaaS applications"learning: "Advanced System Design & Distributed Architectures"exploring: "Vector Databases, Agentic AI, Multi-Agent Workflows"

Languages	Frontend	Backend	Database	AI / ML	Cloud & Tools
Java	React	Node.js	MongoDB	OpenAI API	Git
Python	Next.js	Express	PostgreSQL	LangChain	GitHub
C++	Tailwind	Prisma	MySQL	RAG	Vercel
TypeScript	Three.js	Django	Redis	Vector DB	Render
C	HTML	Vite	Firebase	Prompt Eng.	Postman

🔗 Live:sneakervault-india.vercel.app · Repo:View Source

• Architected an enterprise-style e-commerce platform covering the full order lifecycle — cart, checkout, payment, fulfillment, and admin management — built with React, Node.js, Express, MongoDB, and Next.js, deployed end-to-end on Vercel (frontend) and Render (backend).
• Implemented a secure authentication layer using JWT with Role-Based Access Control (RBAC), cleanly separating user and admin permissions across every protected route.
• Integrated Stripe for end-to-end payment processing, handling checkout, order confirmation, and payment-state syncing across the order pipeline.
• Optimized MongoDB query patterns and indexing strategy, reducing API latency by ~35% under real usage load.
• Diagnosed and resolved a production CORS incident post-deployment across the Vercel/Render split-origin setup, restoring full frontend–backend connectivity with zero downtime.

🔗 Repo:View Source · 🏆 National Finalist — India Innovates 2026

• Built an AI-powered civic-tech platform that ingests citizen complaints in real time, tagging each with geolocation data for downstream routing and analysis.
• Designed a semantic classification pipeline using the OpenAI API and LangChain, automatically categorizing incoming complaints by type, urgency, and department relevance.
• Implemented a RAG-based retrieval layer to surface contextually similar past complaints and precedent resolutions, helping civic authorities act on actionable insights faster.
• Shipped separate Citizen and Admin dashboards — citizens track complaint status end-to-end, while admins get an aggregated, filterable operations view.
• Recognized as a National Finalist at India Innovates 2026 for real-world civic innovation impact.

🔗 Live:railsage-ai.vercel.app · Repo:View Source

• Built an AI-powered railway operations command center for the FAR AWAY Hackathon 2026, collaboratively with @indeedvaibhav, using React 19, Vite, Node.js, Express, Leaflet, and GSAP.
• Integrated the Anthropic Claude API to power a multi-step reasoning feed, giving operators full transparency into each AI-driven decision as it happens rather than a black-box output.
• Implemented live map-based tracking with Leaflet, visualizing train positions and route data in real time for operational decision-making.
• Added multilingual announcement support across English, Hindi, and Japanese, making the system usable across diverse operator and passenger bases.
• Designed smooth, motion-driven UI transitions with GSAP to keep a data-dense operations dashboard feeling responsive rather than cluttered.

"Code is the closest thing we have to magic — engineer it with intent."