I don't just learn AI — I build with it. Whether it's an agent with real shell access to a user's machine or a RAG pipeline that cuts through document clutter, I care about systems that actually work outside a notebook.
Programming: 
Core CS: Data Structures · Algorithms · OOP · DBMS
AI / GenAI: 
Libraries: 
Frameworks & Runtimes: 
Tools & Platforms: 
| Project | Stack | Description |
|---|---|---|
| WayBig Jul 2026 |
Electron, React, TypeScript, Node.js, Gemini API | Cross-platform desktop AI agent with an autonomous Gemini function-calling loop giving direct file system & shell access. Safety-first architecture with human-in-the-loop confirmation gates, diff previews, and audit logging for destructive actions. |
| NeuroNotes Mar 2026 |
RAG, LangGraph, Gemini API, FAISS/ChromaDB | Full-stack AI notebook platform using RAG for context-aware querying across documents — improved response relevance, reduced hallucinations. LangGraph-based agent for multi-turn conversational interactions. |
| InterviewAI Apr 2026 |
Python, FastAPI, Ollama (Llama 3.2), pdfplumber | Fully local AI-powered technical interview simulator generating resume-aware questions via Llama 3.2 (3B) — zero cloud APIs, zero data leaks. FastAPI backend with session management, PDF parsing, and post-interview hire/no-hire reports. |
Summer Intern — VLED Lab, IIT Ropar · May 2026 – Jul 2026 Contributing to open-source projects involving AI and the MERN stack.
AI-ML Virtual Intern — EduSkills (AICTE – National Internship Portal) · Apr 2026 – Jun 2026 Completed an 8-week AICTE-recognized virtual internship in AI & ML, supported by Google for Developers under the India Edu Program. Hands-on experience in model development, data analysis, and generative AI tools.
- ☕ NPTEL Elite Gold — Programming in Java (IIT Kharagpur), 95% consolidated score, Top 5% nationwide
- 📜 Microsoft & LinkedIn Certified — Career Essentials in Generative AI
