Developed a real-time eye-gaze tracking system using Android, Django, AWS, and a custom Pytorch-base CNN model for accurate gaze detection.

• Conducted performance evaluations of the key-value database on RISC-V and ARM using stress testing and Python Dash to visualize key metrics (response time, throughput, CPU, memory) for identifying bottlenecks.• Automated the build process with Shell scripts, generating logs for analysis, and employed Valgrind to identify memory leaks and improper memory usage. Utilized Kcachegrind to analyze execution paths, function calls, and cache behavior, pinpointing areas for potential… Show more • Conducted performance evaluations of the key-value database on RISC-V and ARM using stress testing and Python Dash to visualize key metrics (response time, throughput, CPU, memory) for identifying bottlenecks.• Automated the build process with Shell scripts, generating logs for analysis, and employed Valgrind to identify memory leaks and improper memory usage. Utilized Kcachegrind to analyze execution paths, function calls, and cache behavior, pinpointing areas for potential optimization across architectures. Show less

• Developed a real-time alert system using Python Flask, processing data from YOLOv5 object detection to trigger timely safety alarms in industrial environments.

• Provided technical support and performance testing to ensure OEM/ODM product compliance. Collaborated with PM on technology specifications, troubleshot issues, and managed system upgrades to integrate new functionalities.