I'm a second-year B.Tech student in Artificial Intelligence & Data Science at Amrita Vishwa Vidyapeetham, Nagercoil (CGPA: 8.56).
I work at the intersection of clinical ML and survival analysis — building models that go beyond binary classification to directly model time-to-event outcomes in real patient data. I'm also an active open source contributor and enjoy building full-stack products.
Multi-Omics Breast Cancer Survival Prediction Survival modeling framework on METABRIC (n=1,903) using Cox Proportional Hazards, Random Survival Forest, and XGBoost Survival with Bayesian hyperparameter optimization and SHAP explainability.
| Model | C-index | IBS | 5-Year AUC |
|---|---|---|---|
| Cox PH | 0.6630 | 0.1315 | 0.6905 |
| Random Survival Forest | 0.6841 | 0.1235 | 0.6573 |
| XGBoost Survival | 0.6847 | — | 0.6269 |
Conference Publication "A Digital Twin Enhanced Wearable Biosignal and AI Imaging System for Early Breast Cancer Detection" ICSRF 2025 — UNESCO-supported, Amrita Vishwa Vidyapeetham
ML & AI
Web Development
Tools
🏆 5th Place — Amrita Open Source Competition
🌐 GSSoC 2025 — Open Source Contributor (Checkora AI Chess Platform)
📄 SSRN Preprint — Breast Cancer Survival Prediction (Abstract ID: 6119426)
📢 ICSRF 2025 — Conference paper presenter, UNESCO-supported event
🎯 Applied — Amazon ML Summer School 2026