Final-year Computer Science student building full-stack systems and applied GenAI โ from RBAC-secured platforms to RAG pipelines. Currently an Intern at C-DAC, architecting an EEG Analysis Agent for research-scale data.
- ๐ญ Currently building: EEG Analysis Agent (LangGraph, LangChain) @ C-DAC
- ๐ Adobe Hackathon Top 4000/2L+ ยท Goldman Sachs Hackathon Top 2000/10K
- ๐ป 100+ problems solved on LeetCode
- ๐ฏ Open to SDE/SWE and GenAI Engineer roles
- ๐จโ๐ป Portfolio: https://neetuyadav23.github.io/
- ๐ซ Reach me at: neetuwork888@gmail.com
RAG-based code assistant for GitHub repos โ AST-aware chunking, FAISS vector search, Gemini 2.5 Flash reasoning, Dockerized. Achieves 50โ90ms retrieval latency.
Tech Stack: Python, FAISS, Sentence Transformers, Gemini 2.5 Flash, Streamlit, Docker
Full-stack RBAC platform connecting students and founders โ JWT/bcrypt auth, RBAC middleware, FastAPI ML microservice for recommendations. Fixed a production OOM crash by re-architecting the embedding pipeline.
Tech Stack: React, Node.js, Express.js, MongoDB, FastAPI, Scikit-learn
Machine Learning web application that predicts salaries using data analysis, visualization, and regression-based ML models with an interactive interface.
Tech Stack: Python, NumPy, Pandas, Matplotlib, Scikit-learn, Streamlit, ML
A comprehensive desktop application designed to streamline laundry business operations with features for customer management, order tracking, billing, and reporting. Perfect for small to medium-sized laundry businesses looking to digitize their operations.
Tech Stack: Python, MySQL