Building intelligent systems at the intersection of AI and engineering. Currently exploring Graph Neural Networks, time-series forecasting, and mobile applications.
I'm a Computer Science undergraduate at SSN College of Engineering, Chennai, deeply fascinated by the technology powering modern AI applications.
My work spans machine learning, mobile development, and backend systems — from building health apps with AI integration to designing traffic prediction platforms using Graph Neural Networks.
I believe in writing code that scales, solving problems that matter, and constantly pushing the boundaries of what I know. When I'm not coding, I'm leading in NCC or competing in hackathons.
A dynamic, growing toolkit. Use the category filters to explore, or add your own skills below.
AI-Powered Workforce Ontology and Career Recommender that maps skill relationships using graph databases and FAISS-based semantic search to deliver intelligent, personalized career path recommendations at scale.
AI-Driven Behavioral Analysis Platform that tracks habits, identifies patterns using Gemini AI, and provides personalized behavioral insights through a mobile-first interface.
Health and Fitness App with a full-featured Java Swing desktop interface, PostgreSQL database, and Gemini API integration for personalized AI fitness coaching.
AI-powered application focused on intelligent automation and analytics, integrating modern machine learning workflows with scalable backend systems for efficient data processing and insights generation.
Console-based Railway Reservation Management System developed in C using file handling for persistent data storage, supporting ticket booking, cancellation, passenger records, and train management operations.
Full-stack Hospital Management System built using Java Swing and NetBeans with PostgreSQL integration, featuring appointment scheduling, patient records, billing management, and database-driven healthcare workflows.
Achieved top 20% ranking out of 400 participants in a competitive machine learning challenge focused on predicting construction costs — applying advanced regression techniques and feature engineering.
Implemented complex algorithmic solutions entirely with the monitor turned off — testing pure muscle memory, mental model accuracy, and coding instinct.
Participated and received acknowledgment for exceptional project feasibility and quality of implementation plan from evaluators.
Qualified through 3 progressive rounds of technical elimination at the national level SAP hackathon, reaching the pre-finalist stage.
Movement as expression — finding rhythm and flow in dance, which sharpens creativity and spatial thinking that translates into elegant problem solving.
Visual thinking through pencil and paper — sketching ideas, designs, and illustrations that train an eye for detail, composition, and aesthetics.
Top Cadet recognition in NCC — building leadership, discipline, and teamwork through rigorous training and community service activities.
Led volunteering operations for Invente Paper Presentation 2025, coordinating teams, managing logistics, and ensuring smooth event execution.
Open to internships, collaborations, and interesting conversations about technology.