Hello, I'm
BS-MS CSDA Student at IIT Patna
Bioinformatics & Computational Biology Enthusiast
Python · Machine Learning · AI for Healthcare
I'm a BS-MS Computer Science & Data Analytics student at the Indian Institute of Technology, Patna. My academic focus lies at the intersection of data science and life sciences — applying machine learning, statistical modeling, and algorithmic thinking to solve complex biological and real-world problems.
I have experience leading technical teams and building AI-driven solutions, including assistive technology applications designed for accessibility. I'm passionate about creating technology that makes a tangible difference in people's lives.
ReLive Genomics (Pre-incorporation)
Conceptualizing and building a startup around one question: what's the most complete version of a person you can preserve? Developing systems that combine EEG, genomics, and AI to model human identity — locally and privately. First product (Eterno) in active development, ingesting 4,000+ personal messages into a local RAG pipeline.
Droidrun DevSprint 2026
Led a 3-member team to build Braill-AI, a voice-first mobile agent enabling hands-free Android control for elderly and visually impaired users using Droidrun and Mobilerun Cloud. Delivered a working prototype with live demo and public GitHub repository.
Heritage School, Jammu
Led the strategic planning and execution of the Inter-School Cyber Fest at Heritage School, Jammu. Demonstrated strong organizational and communication skills. Participated in two competitions and secured 1st rank in Quiz and 2nd rank in IT Digital Quest among 60 students from different schools.
A healthcare platform where patients can book appointments with doctors, and an AI assistant collects their symptoms beforehand — generating a structured pre-visit summary for the doctor. Saves consultation time and improves care quality.
A voice-first mobile agent for elderly and visually impaired users, enabling hands-free Android control. Built with Droidrun & Mobilerun Cloud integration, powered by Google Gemini for natural language understanding and device automation.
AI-powered drug interaction checker that detects dangerous medication combinations using NIH RxNorm + openFDA data. Interactions are explained in plain English by AI, making critical pharmaceutical information accessible to everyone.
Bachelor of Science (BS-MS) — Computer Science & Data Analytics
12th Grade — Physics, Chemistry, Biology (PCB)
End-to-end pipeline integrating EEG-derived Differential Entropy features with a Random Forest classifier and LLM-based text generation to produce emotionally conditioned narratives. Trained on the FACED dataset (32-channel, 9-class emotion) — achieved ~35% cross-validated accuracy vs. 11% chance baseline. Emotion probabilities used as soft conditioning for LLM memory generation via prompt engineering.
Oracle
Oracle
Microsoft
Recognition
Gold Medalist — secured Zonal Rank 15 in North Zone in the National Cyber Olympiad.
Secured 1st Rank in IT Quiz and 2nd Rank in Tech Rummage at the IT Fest Competition.
Interested in collaborating on research, building AI-driven solutions, or just want to chat about bioinformatics and computational biology? I'd love to hear from you.