Hùng Việt
Artificial Intelligence Engineer at VNPT IT
Hanoi, Vietnam
Summary
🤩
Rockstar🎓
Top SchoolHùng Việt is an Artificial Intelligence Engineer based in Hanoi with 10 years of experience building and optimizing computer vision models for production. Having worked at Bkav and now VNPT IT, he blends practical industry experience with a master's-level CS background from Hanoi University of Science and Technology. He has hands-on expertise refining YOLO implementations—contributing backbone, loss function, and architecture improvements to a popular TensorFlow YOLOv4 repository aimed at deployment to TensorRT and TFLite. Known for a pleasant collaborative style, he focuses on model performance and deployment, bridging research-grade improvements with real-world constraints in embedded and cloud environments.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Hanoi University of Science and Technology
Stackoverflow
1reputation
2kreached
0answers
1question
Github Skills (10)
object-detection10
computer-vision10
tensorflow10
python10
yolov410
neural-network9
convolutional-neural-networks9
tflite8
tensorrt8
flutter6
Programming languages (1)
Github contributions (5)
hunglc007/tensorflow-yolov4-tflite
Apr 2020 - Aug 2020
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
Role in this project:
ML Engineer
ML EngineerContributions:114 commits, 15 PRs, 97 pushes in 3 months
Contributions summary:Hùng primarily contributed to updating the YOLOv4 object detection model within the repository. Their commits focused on modifying the backbone architecture and loss functions, indicating an effort to improve the model's performance. The changes involved adjusting convolutional layers, residual blocks, and upsampling layers, as well as implementing a new CIoU loss function. These modifications suggest the user was focused on model optimization and refinement for the YOLOv4 implementation.
tensorflow-2tensorflow-2-0tinyweightsyolov4-tiny
hunglc007/yolov5
Nov 2020 - Feb 2021
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
Contributions:2 PRs, 7 pushes in 3 months
pytorchdeep-learningobject-detectiononnxpytorch-onnx
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