Tanmay Sharma

I’m a Computer Science undergraduate focused on DSA, web development, and AI-based systems. I enjoy turning complex problems into usable products—whether it’s building retrieval-augmented AI features or shipping clean, role-based web experiences.

As a Research Intern at Solid State Physics Laboratory (SSPL), DRDO, I built an AI electronics assistant with FastAPI and multiple local LLMs for circuit Q&A, analysis, and automation (~3.2K LOC). I also developed a ChromaDB-based RAG pipeline for electronics datasheets, designed to enable grounded retrieval from complex PDFs with reduced hallucinations.

I went further by integrating vision-language and simulation into the workflow—using Qwen2.5-VL and Ngspice to interpret circuit schematics and convert natural language into executable SPICE netlists. I value practical AI that actually connects to real-world outputs, not just demonstrations.

On the product side, I’ve built HealthSync, a role-based healthcare continuity-of-care system with OCR for prescriptions, Gemini API-powered lab analysis (20+ clinical parameters), and smart risk scoring. I’ve also developed AptosRx for blockchain prescription verification using Aptos and Move contracts, including SHA-256 hash validation with Firebase off-chain storage for 100% tamper detection.