Developed input parsing logic and processed structured JSON data for backend integration into Java classes. Leveraged Spring Boot, Python, and FastAPI to build and connect backend services across a dockerized full-stack system.

• Converted structured TAC inputs into backend-ready Java models.
• Integrated multiple backend services across a containerized system.
• Improved reliability of data handoff between parsing and fitting workflows.

Led the frontend for a responsive activity planner that combines OpenWeather data, Google Places recommendations, and a focused Tailwind CSS interface to suggest rainy day plans.

• Owned the frontend experience from layout to interaction polish.
• Connected weather context to location-aware activity planning.
• Built a clear mobile-first flow for fast decision making.

Built LuxBot by integrating computer-vision emotion detection with multimodal AI to enable real-time therapeutic conversations. Added dynamic front-end components, including an animated motivational banner, to improve engagement and responsiveness.

• Integrated live facial-expression recognition with natural-language responses.
• Reduced interaction friction through adaptive emotional context.
• Enhanced engagement with animated interface feedback.

Created a Python-based genre classifier using data analysis workflows and KNN classification to study audio feature patterns and evaluate prediction quality.

• Built and evaluated a KNN classification pipeline.
• Explored feature relationships across genre-labeled audio data.
• Documented model behavior with analysis-driven findings.