About Me
I'm a sophomore pursuing Computer Science at IIIT Lucknow — where I sit at the intersection of technical depth and entrepreneurial thinking.
I'm deeply passionate about Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, Large Language Models, Retrieval-Augmented Generation, and Data Science. These aren't just buzzwords to me — they're the tools I use to build things that matter.
I love building scalable AI products that solve real-world problems, learning new technologies as fast as they emerge, and actively contributing to Open Source. I continuously explore modern AI systems — from diffusion models to agentic workflows.
My mission is to transform research into production-ready applications. I'm not just an engineer — I'm a builder, a problem-solver, and an AI enthusiast who happens to write clean code.
Current Student
Bachelor of Technology
Computer Science · IIIT Lucknow
Technical Skills
Featured Projects
Production-grade AI applications combining LLMs, RAG, ML, and full-stack engineering.
SolveHive
Full-Stack MERN Q&A Platform with Reputation System
A full-stack MERN application supporting category-based question posting, multi-format answers (text, image, video), and a reputation/badge system to reward helpful users.
- ▸Built a full-stack MERN application supporting category-based question posting, multi-format answers, and a reputation/badge system
- ▸Designed a RESTful API with Express and Mongoose, including JWT-based authentication
- ▸Protected routes for creating, answering, and resolving queries
Buzziiit
RAG-Based Conversational Recommendation System
A full-stack RAG-based conversational recommendation system combining Google Gemini 1.5 Flash for generation with sentence-transformer embeddings and a local ChromaDB vector store.
- ▸Built a full-stack RAG-based conversational recommendation system
- ▸Grounded LLM responses in real restaurant data instead of the model's own unreliable knowledge
- ▸Designed a hybrid recommendation engine layering semantic search with structured filters
PlaceIQ
AI Placement Predictor & Mentor
A full-stack AI system combining conversational profiling (LLM), predictive scoring (ML), and retrieval-augmented generation (RAG) into a single placement-readiness pipeline.
- ▸Built a full-stack AI system combining conversational profiling, predictive scoring, and RAG
- ▸Designed a conversational AI intake flow using Claude API that extracts structured student profile data
- ▸Trained a Ridge Regression model on engineered profile features to predict a 0-100 placement readiness score
Achievements
Academic excellence across India's most competitive national-level examinations.
Winner (Rank 1), Fossology
Winner (Rank 1), Fossology — the flagship coding event of GDG's FOSS Wing, recognized for the cleanest code and the best pull requests.
Winner (Rank 1), GDG RAGathon
Secured Winner (Rank 1) position in the GDG RAGathon, demonstrating excellence in building Retrieval-Augmented Generation solutions.
JEE Mains 2025
Achieved an outstanding 99.20 percentile in JEE Mains — one of India's most competitive engineering entrance examinations, attempted by over 1.2 million students annually.
JEE Advanced 2025
Secured All India Rank 1662 in JEE Advanced — the gateway to the IITs, considered one of the toughest undergraduate entrance exams in the world.
IISER IAT
Achieved All India Rank 24 in the IISER Aptitude Test (IAT) — a national-level examination for admission to the prestigious Indian Institutes of Science Education and Research.
INChO — Indian National Chemistry Olympiad
Qualified for the Indian National Chemistry Olympiad at the state level, finishing in the top 1% of all state participants and earning the distinction of State Topper in Chemistry.
Let's Connect
Always excited to collaborate on innovative AI projects, discuss research, or explore new opportunities. Let's build something extraordinary together.
Response time: usually within 24 hours