Highly motivated Computer Science and Data Science student proficient in full-stack web development and object-oriented programming. Eager to leverage skills in machine learning for innovative projects.
Academic milestones and achievements
Built products across full-stack web, Android, AI agents, ML, and IoT
Full-stack restaurant platform featuring user authentication, menu browsing, reservation booking, and a polished customer-facing experience for Saffron Spice.
Developed a modular workflow to analyze global air pollution data, predict AQI, and classify health risks using machine learning models.
Kotlin + Jetpack Compose Android app for local community posting and issue reporting, with Firebase-powered auth, storage, analytics, notifications, and staff moderation. Includes comments/replies, media posts, profile flows, and aggregate counters for efficient feed performance.
Built an explainable traffic intelligence system using IBM Granite and LangFlow to detect congestion patterns, analyze root causes, and generate human-readable insights for operators. Designed with specialized agents for traffic data synthesis, cause analysis, and explainable recommendations with a RAG-backed knowledge layer.
Built and simulated a complete smart home automation system using Cisco Packet Tracer and integrated IoT devices, edge computing, and automation scripts to manage lights, appliances, and security.
Continuous learning and skill growth
Community participation and professional engagement
Technical depth with broad collaboration