I build software across AI/ML, full-stack development and intelligent systems, with a focus on turning ideas and real-world problems into working applications.

• Building full-stack applications and experimenting with frontend, backend, APIs, databases and authentication
• Building Pothole Risk Engine, a Bayesian road-risk prediction system using live weather, traffic and pothole-density data with a secure Node.js backend
• Building Student Performance Predictor, an end-to-end ML application with authentication, prediction history and an analytics dashboard
• Building Virtual Museum Explorer, a responsive and interactive virtual museum focused on accessibility and engagement
• Exploring Artificial Intelligence and Machine Learning, from model development to deploying practical ML applications
• Participating in technical quizzes, coding challenges and coursework-related competitions to strengthen both theoretical knowledge and practical problem-solving
• Actively participating in hackathons and technical events, collaborating on ideas and building solutions under time constraints

Currently working on Pothole Risk Engine, Student Performance Predictor and Virtual Museum Explorer