- Participated in the Smart Campus video monitoring project.- Implemented and evaluated different approaches for vehicle license plate detection, resulting in improved processing time and accuracy for the real-time video analytics system. - Trained and fine-tuned YOLO AI models to enhance vehicle and pedestrian detection accuracy on university campuses.- Developed REST APIs using FastAPI in Python.- Automated the image dataset cleaning process with Python scripts, reducing the time spent on manual analysis.- Participated in the FIWARE integration process for streamlined IoT device monitoring.

- Ported and maintained legacy C/C++ code from old hardware test modules to modern C++20 standards to enhance code quality and ensure system stability.- Mapped and resolved multiple memory leaks by using smart pointers, enhancing memory management and system safety.- Implemented DLL authenticity verification using Bcrypt to ensure secure and reliable execution of dynamic libraries.- Addressed and fixed issues in the application’s UI (React), including real-time synchronization with the backend, state management, and performance, to ensure a smooth and seamless user experience.