B.Tech AI & Data Science graduate building ML/DL systems with real-world impact — from federated clinical AI to full-stack web platforms. I care about models that are accurate, explainable, and deployable.
I'm a B.Tech graduate in Artificial Intelligence & Data Science from Sri Krishna College of Technology, Coimbatore. My work sits at the intersection of deep learning, responsible AI, and product engineering.
My flagship project applies Federated Learning across hospital nodes to train a cardiac diagnosis model without ever moving patient data — a practical demo of privacy-first ML. I supplement that with SHAP-based heatmaps so clinicians understand why a prediction was made.
I've also shipped a full-stack MERN freelancer marketplace and completed an industry internship where I cut API response times by 25% and lifted mobile usability scores from 68 to 89. I'm comfortable moving between model layers and production deployment.
Privacy-preserving cardiac diagnosis using Federated Learning across simulated hospital nodes, with SHAP heatmaps for clinical explainability.
End-to-end Spring Boot REST API backend for a freelancer marketplace with full CRUD operations, JPA persistence, and profile management across expertise fields.
Full-stack real estate web app with JWT-secured authentication, property CRUD, city-based search, and Swagger API documentation — built on Spring Boot and React.
A privacy-preserving cardiac diagnosis system that applies Federated Learning across multiple simulated hospital nodes. The model is trained without centralising patient data — each node trains locally and only gradient updates are shared — achieving near-centralised accuracy while preserving data privacy. SHAP heatmaps are integrated to give clinicians interpretable explanations for each prediction.
A RESTful backend service for a freelancer marketplace built with Spring Boot and JPA. The system manages freelancer profiles — capturing name, email, country, job title, field of expertise, years of experience, availability, and preferred payment method — and exposes a complete CRUD API for client consumption.
A full-stack real estate web application featuring a secure Spring Boot backend and a React.js frontend. Users can register, log in via JWT-secured authentication, browse property listings, search by city, and manage properties. The backend is fully documented with Swagger/OpenAPI for easy API exploration.
GET /api/properties/search?city= query parameter.I'm actively seeking entry-level AI Engineer or Full-Stack roles. Available immediately.