B.Tech student in Artificial Intelligence & Data Science at ADIT, CVM University (CGPA 9.48 / 10)
I build backend and AI systems to understand how real software works, from retrieval pipelines and LLM workflows
to transactions, caching, queues and system design.
AI Engineer Intern · AIGyde (Remote) · May 2026 – Aug 2026
Evaluated the BizGyde AI product across 10+ modules (RAG reliability, chatbot quality, report generation, session behavior) with root-cause diagnoses and prioritized fixes
Architected FounderTube, a Discord-style founder community with automated email onboarding, and delivered the full integration spec
Shipped an internal LLM-powered news engine that scrapes, filters and summarizes content and auto-pushes 5 curated items every 3 hours,
saving an estimated 10+ hours of manual research per week
|
Hybrid RAG Intelligence Engine
|
Concurrent, ledger-based banking API
|
|
Real-time ranking with Redis Sorted Sets
|
Natural language → editable architecture diagrams
|
| 🧠 AI / LLM | LangChain · LangGraph · LangSmith · FastMCP · RAG · Pinecone · ChromaDB · FAISS |
| ⚙️ Backend | Python · Node.js · Express.js · FastAPI · PostgreSQL · MongoDB · Redis · JWT Auth · Rate Limiting · Pydantic |
| ☁️ DevOps | Docker · GitHub Actions (CI/CD) · AWS (EC2, S3) · Git · GitHub |
| 🎨 Frontend | JavaScript · TypeScript · React |
| 📚 Core | Data Structures & Algorithms · OOP · RESTful APIs · SQL |
285+ problems solved on LeetCode, plus GeeksforGeeks and HackerRank practice
Smart India Hackathon participant (2024, 2025) · College Ideathon (2024, 2025)
TypeScript · Redis, BullMQ & pub/sub · System Design · DSA patterns
I also write about AI engineering, LLM systems and multi-agent design patterns on LinkedIn.
Build things. Understand why they work. Then make them better.



