Below are projects I've had the pleasure of working on. Spanning from AI systems and Machine Learning to Game Design. With every project I work on, I hope to learn something new.
An automated real-time attendance logging system built in Python using OpenCV and facial recognition libraries, automatically logging verified student entries into a timestamped database.
A supervised machine learning classification pipeline developed in Python and Jupyter Notebooks, comparing logistic regression and tree models to accurately predict diabetes risk from clinical data.
Leading a 5-engineer senior capstone team building a live telemetry ingestion pipeline to stream ocean sensor data directly into an external simulation engine.
A fast-paced tile-matching arcade game developed in Unity and C#, featuring dynamic board-state management, custom grid logic, and escalating difficulty.
An autonomous agent simulation in Unity demonstrating Goal-Oriented Action Planning (GOAP). Uses A* graph search to enable NPCs to dynamically formulate, cost-evaluate, and sequence actions.