I'm a CS undergrad at Integral University (Data Science & AI) who works at the edge of AI and real-world impact — from clinical research to open-source astronomy tooling.
Currently: Google Summer of Code 2026 @ OpenAstronomy, building a robust C/Cython testing framework for Astropy.
I've co-authored a published research paper on post-liver-transplant weight trajectories using generative AI, built production-grade ML systems, and won a national urban innovation hackathon. I care about healthcare AI, infrastructure that doesn't break, and shipping things that actually work.
GSoC @ OpenAstronomy (2026)
Architected an isolated pytest framework for Astropy's C/C++/Cython layer, refactored C-level circular dependencies to unblock the Meson build migration, and authored documentation mapping the C-API testing surface across six core modules.
Research @ Virginia Commonwealth University (2024 – present) Analysed 562 liver transplant cases in R Studio, built 25+ statistical models, and co-authored a clinical paper on AI-driven metabolic risk assessment post-transplant.
AI Intern @ Signature IT (2025) Built a multi-model classification system (SVM / KNN / Decision Tree) hitting 92% accuracy, automated an ML pipeline that cut prediction error by 18%, and shipped a real-time Python analytics dashboard.
Languages
ML / Data
Web & Tools
Note: Stats only reflect public repositories. My research and internship work lives in private repos or external org accounts (VCU, GSoC), so the numbers here are a fraction of actual activity.
Certifications: Python — IBM · Data Analytics in Python — IIT BHU · GNSS — ISRO · Software Engineering — JP Morgan