Vijayendra ch

I built Crime Scene Solver, an end-to-end multimodal forensic analysis pipeline that turns crime scene images into structured reports using YOLOv8, CLIP, BLIP, LLM synthesis, Express.js, and MongoDB.

I also developed HealthMate, a role-aware medical chatbot grounded in trusted WHO and CDC sources through RAG, FAISS semantic search, Sentence Transformer embeddings, and stored conversation context. For a Smart Lab Slot Booking System, I designed REST APIs, real-time availability validation, booking limits, and separate MySQL and MongoDB data models.

I'm a computer science student with competitive programming experience, including a top-10% LeetCode rating, 1,640+ solved problems, and 140+ contests. I've also trained on transformer-based NLP models, machine learning, neural networks, reinforcement learning, and causal inference through Infosys Springboard and Amazon ML Summer School.