Final-year Computer Science Engineering student at GCE Srirangam (2024–2027), building Machine Learning systems end-to-end — from data cleaning and model training to deployment on the live internet. Seeking internship or full-time roles in ML / AI / Data Science.
An ML engineering journey focused on solving real problems — from notebook to production deployment.
Industry exposure, certifications and skill-building beyond the classroom.
The toolset I use to take models from idea to live API.
Two production-grade ML apps running on the public internet — try them now.
Retrieval-Augmented Generation over a custom knowledge base. Embeds documents, retrieves relevant chunks by semantic similarity, and answers with sources shown — plus an "I don't know" fallback instead of hallucinating.
A Random Forest pipeline — preprocessing + model saved as one artifact — served as a production FastAPI service. Pydantic validation, pytest test-suite, Docker packaging, interactive demo. Deployed via GitHub → Render.
Random Forest + SMOTE on 284k transactions (0.17% fraud) — because accuracy means nothing on imbalanced data. Compares 4 approaches, deploys the winner, and explains every flag with SHAP values.
Every major ML category covered — each built end-to-end: data → model → evaluation.
Leading large-scale technical events and coordinating cross-functional teams.
Led and coordinated a national-level technical symposium with 300+ participants — managing event planning, team coordination, and smooth execution across multiple technical events.
◈ 300+ PARTICIPANTS · NATIONAL LEVELSTATUS: OPEN TO WORK — internships & entry-level ML / AI / Data Science roles · always excited to build something useful!