- I am a passionate and experienced AI professional with a focus on Machine Learning and Computer Vision. I am dedicated to automating everyday tasks and bringing AI solutions to reality.
- My primary research direction involves optimizing AI solutions for edge devices such as cameras and Al Boxes. I have extensive experience in developing AI/ML projects from scratch using Chainer and TensorFlow, overcoming challenges related to technology, research, computational hardware, and limited support from the development community and open-source projects.
- I have a strong background in various algorithms, including CNN, RNN, Clustering, GAN, Tree-based algorithms, and XGBoost.
- I have worked with various data types, such as image, speech, ECG signal, test case data, and time-series data and contributed to the development of various AI applications, such as image classification, object detection, air quality forecasting, object matching, speaker identification and diarization, and pix2pix image generation.
Project list
Confidential - Vietnam
Developing rip-current detection system
- Being tested at a famous beach in Vietnam, with a monitoring range of up to 10km.
- Designing overall system architecture.
- Researching and guiding the development of Al solutions.
- Planning and organizing data collection.
Technologies: Computer Vision, Machine Learning, Deep Learning, PyTorch, TensorFlow, OpenCV, Python, REST API
Confidential - Vietnam
Developing traffic violation detection and vehicle tracking system
- Has been deployed in a province in Vietnam, with a scale of 200 cameras and 80 NVIDIA GPUS.
- Project management and planning.
- Collaborating with clients and analyzing requirements.