I'm a final-year B.E. Computer Science & Engineering student (VTU, 2023–2027) specializing in full-stack engineering and multi-agent LLM systems, with a strong ML/data science foundation underneath it all.

• 🤖 Architect multi-agent systems with LangGraph — up to 11 specialized agents orchestrated in a single pipeline (tutoring, code coaching, career prep, and more)
• 🌐 Shipped 4 full-stack production apps spanning e-commerce, ed-tech, fintech, and real-time messaging — built on Next.js 16, React 19, FastAPI, and Node.js
• 🧩 Built RAG pipelines (Gemini embeddings, semantic chunking, vector retrieval) and event-driven backends (Stripe, Inngest, WebSocket, Socket.io)
• 🛠️ Comfortable owning the full stack: relational schema design (Prisma/PostgreSQL), auth from scratch (JWT/Bcrypt), payments, and real-time infra
• 🧠 Also bring MLOps depth — XGBoost, MLflow, Dagster — for teams that need ML alongside product engineering
• 🏆 Top 10% on LeetCode with active competitive programmer on Codeforces

Languages

Frontend

Backend & Databases

AI / LLM Engineering

DevOps & Tools

Machine Learning & MLOps

Next.js 16 React 19 TypeScript PostgreSQL Prisma Stripe Clerk OpenAI API

• Architected a full-stack marketplace with a fully relational Prisma/PostgreSQL schema modeling Users, Stores, Products, Orders, Ratings, and Coupons, with role-based dashboards for Admins, Sellers, and Buyers.
• Built idempotent Stripe webhook handlers for secure checkout and order reconciliation; offloaded async tasks (emails, inventory sync) to Inngest event-driven jobs to keep the critical request path fast.
• Shipped AI-powered review summarization via the OpenAI API, integrated ImageKit for CDN image delivery, plus a subscription tier and coupon system.
• Integrated Clerk for authentication and built responsive seller/admin dashboards for inventory and order management.

Next.js 16 FastAPI LangGraph LangChain Gemini RAG Supabase WebSocket

• Architected a multi-agent LangGraph system with 11 specialized agents (Roadmap Architect, Lesson Teacher, Doubt Solver, Quiz Examiner, Code Coach, Career Prep, and more) that generate and adapt personalized learning journeys end-to-end.
• Built a RAG pipeline (Gemini text-embedding-004, 512-token chunking, top-5 retrieval) letting learners upload their own study material for grounded, context-aware Q&A.
• Developed real-time voice tutoring over WebSocket and a Socratic code-coaching sandbox that generates coding challenges, evaluates solutions, and gives hints without revealing answers.
• Shipped career-readiness tooling — resume review, mock interviews with voice and text input, and verifiable certificate generation.

Next.js React 19 TypeScript MongoDB LangGraph Gemini Inngest Better Auth

• Architected an agentic state-graph pipeline (LangGraph + Gemini) chaining a data-fetch node into an LLM-analysis node, producing structured 8-section markdown reports per stock query.
• Built a real-time dashboard with embedded TradingView charts, live ticker tape, and a persistent MongoDB-backed watchlist system.
• Automated welcome emails and daily news digests via Inngest event-driven jobs integrated with Nodemailer.
• Implemented session-based authentication with Better Auth and designed a deterministic fallback analysis path so the platform degrades gracefully when the LLM API is unavailable.

Python FastAPI LangGraph PostgreSQL pgvector Redis DuckDB

• Built a production-grade NL-to-SQL analytics platform using a LangGraph multi-agent architecture.
• Implemented semantic caching, anomaly detection, and automated reporting pipelines.
• Passed 24/24 backend validation checks supporting dashboard, PDF, and email analytics delivery.

React Node.js Express.js MongoDB Socket.io Zustand JWT

• Built a custom JWT authentication system from scratch (no third-party auth provider) with Bcrypt password hashing and protected route middleware.
• Implemented bidirectional real-time messaging with Socket.io, including live presence tracking, typing indicators, and toggleable sound notifications.
• Integrated Cloudinary for in-chat image sharing, Resend for automated emails, and Arcjet for API rate limiting.
• Deployed a production build on Render with Zustand managing client-side state across real-time data flows.

• Supervised Machine Learning: Regression & Classification — DeepLearning.AI
• Advanced Learning Algorithms — DeepLearning.AI
• Unsupervised Learning, Recommenders & Reinforcement Learning — DeepLearning.AI
• AWS Cloud Practitioner Essentials
• Automation AI Accelerator: From Co-pilot to Autonomous Agent

B.E. Computer Science & Engineering — Sir M. Visvesvaraya Institute of Technology (VTU), Bengaluru 2023 – 2027 | CGPA: 8.5/10