Final-year Data Science & Applications student at IIT Madras. I take models out of notebooks — into pipelines, papers, and products.
I'm a final-year BS in Data Science & Applications student at IIT Madras, working across ML/DL, MLOps, and backend engineering. My research has taken me from graph neural networks for drug discovery to anomaly detection in smart grids — and into a peer-reviewed publication along the way.
Alongside coursework, I mentor as a Teaching Assistant to over 5,000 students — which mostly means I've explained backpropagation more times than I can count, and gotten good at making hard ideas land.
A few projects that went the whole distance — from idea to something that actually runs.
Co-authored a peer-reviewed paper applying graph transformers to compute drug similarity matrices over 267 drugs — research that started as a summer internship and ended up published.
Built centralised ML pipelines to flag anomalies in smart grid telemetry, benchmarking logistic regression against CNN, RNN, and ANN architectures on real-world grid data.
Trained ensemble models on 45K+ marketing records with severe class imbalance — F1: 0.9477, Precision: 0.94, Recall: 0.95, via SMOTE and hyperparameter tuning.
Endpoint-wise pytest suites for auth, RBAC, and simulation APIs on a role-based coaching platform. Code reviewer on 30+ merged PRs.
Full-stack role-based parking system in VueJS, with Redis caching and async jobs for reminders, reports, and CSV export.
Multi-user request management app in Flask, with email notifications, CSV exports, and token-based access control.
Ran tutorials, set and graded assessments, and curated coursework for 1,200+ students.
Built centralised ML pipelines for smart grid anomaly detection, benchmarking logistic regression against CNN, RNN, and ANN architectures.
Applied Graph Transformers to compute drug similarity matrices over 267 drugs — work that became the published paper above.
Mentored 5,000 students across three cohorts of Mathematics for Data Science–I; authored exam-prep study guides.