A selection of work spanning full-stack development, embedded systems, and real-time computer vision. Each project reflects a different part of how I approach technical problem-solving.
Within a team of 5 engineers, and under the guidance of an engineering manager at Google, we built a full-stack web application for creating, managing, and browsing events, with a focus on structured data handling and usability. Developed both frontend and backend components, integrating dynamic search and database-driven functionality to support a scalable and reliable system.
Built an embedded system that analyzes real-time motion data from a gyroscope to detect tremor patterns associated with Parkinson’s disease. Combined sensor integration with signal processing techniques to demonstrate practical, low-level system design for health monitoring applications.
Developed a real-time facial recognition system that processes live video input to identify individuals and retrieve associated data from a database. Designed an end-to-end pipeline that integrates computer vision, face encoding, and database matching to enable efficient, real-time identification.