Kiệt Trương

Developed algorithms for object detection and classification, including lost and abandoned object detection, traffic light detection, and household sound classification. Achieved high accuracy in challenging conditions and optimized models for efficient inference.

Developed a secure drug distribution system using Vision Transformer and Federated Learning, and fine-tuned models for facial recognition. Deployed systems on Jetson Nano for enhanced security.

Built a smart car with object detection capabilities for industrial use, integrating various sensors for autonomous driving and line-following functionalities.

Fine-tuned a Vision Transformer model for facial feature analysis and deployed it on Jetson Nano. Optimized the model using Huggingface and tested its performance.

Grade: 7.83

Pursued a Bachelor of Computer Networks and Communications with a focus on modern technologies and applications in AI and IoT. Achieved a GPA of 7.83, demonstrating strong academic performance and understanding of complex networking concepts.