Computer Science & Data Science student building backend-heavy AI systems, healthcare tools, and production software. I work across APIs, retrieval pipelines, deployment, and data-heavy workflows.
I’m a BE Computer Science & Data Science student at Acharya Institute of Technology. My work sits around AI/ML systems, backend engineering, healthcare AI, and infrastructure — especially where the boring parts like auth, deployment, versioning, retrieval, and performance decide whether the project is real.
A recipe for reading pesky, almost-illegible prescriptions without breaking the entire budget. Also experimenting with LLMs, agent workflows, and my own research direction around knowledge graphs.
Acharya Institute of Technology
BE in Computer Science & Data Science · Expected 2027 · SGPA 8.965 / 10.0
Kendriya Vidyalaya Tinsukia
Class XII, CBSE · 86.33%
A mix of production backend work, healthcare AI systems, and security tooling — presented around the problem, the build, and the engineering contribution.
Backend and deployment lead for a digital document management system serving 18GB+ of engineering documents. Implemented authentication, role-based access, document versioning, and performance improvements for remote, low-connectivity use.
Pharmacogenomic clinical decision support system that analyzes patient VCF files across 6 pharmacogenes. Integrated PharmCAT-based diplotype extraction, CPIC phenotype mapping, and a rule engine that classifies 14 drugs into safe, adjust, or avoid categories.
AI healthcare assistant built around retrieval over structured medical knowledge. Designed modular reasoning workflows with XAI, MCP-based tool orchestration, agentic query handling, and graph-backed context using Neo4j.
Modular red teaming and penetration testing framework for exposing security utilities through controlled MCP-based interfaces. Built isolated Docker environments, agent workflows, and deployment scripts for reproducible testing inside sandbox modules.
A practical toolkit for building AI systems, backend services, data-heavy workflows, and infra that does not fall apart immediately.
Leading a 570+ member AI and cybersecurity community. Organized Ignite O1 Tech Fest with 1500+ participants and served as Core Committee Lead for Tech Habba 2025 with 2500+ participants.
Overall Winner at XAttitude 2026 and Neurovex 2K26; 1st Prize in CTF at TechFlix 2026, DSU; 2nd Prize in PromptWars, DSU; 5× Hackathon Winner across SDG Forge, CypherQuest, Indian Data Club, Simba-GPT, and Srujana 2.0.
If it involves backend systems, healthcare, AI/ML, open source, or the kind of idea that needs a little experimentation before it becomes useful, I’d like to hear about it.