Designed and deployed a vehicle monitoring system capable of detecting traffic volume and regional license plates. The system employed a server-to-server architecture, integrating multiple FastAPI instances to balance computer vision workloads and ensure scalability. Laravel was utilized as the global backend, providing centralized orchestration, data aggregation, and API services for seamless communication across distributed nodes.

Assisted instructors in delivering hands-on programming sessions by guiding students through coding exercises, debugging issues, and explaining core programming concepts. Supported the preparation of learning materials, facilitated discussions, and provided feedback on student assignments, strengthening communication, leadership, and problem-solving skills in a collaborative learning environment. Additionally, developed machine learning models for real-time face detection and recognition on edge computing devices.