Hello, my name is Viet

I am an AI engineer specialising in Computer Vision, Efficient Computing, and Reinforcement Learning. My work sits at the intersection of machine learning algorithms and high-performance systems, where I focus on building models that are not only intelligent, but also computationally efficient and production-ready.

I received my Bachelor’s degree from the Ho Chi Minh University of Technology, Vietnam National University, Ho Chi Minh City. Since graduating, I have been working as an AI engineer for over three years. Currently, I work at MonoRevo Inc., a Japanese start-up based in Ho Chi Minh City.

Beyond my professional work, I am actively engaged in exploring new ideas and research directions. I welcome collaborations, discussions, and opportunities to work on challenging problems at the intersection of AI and high-performance systems.

My Research interests:

1. Computer Vision: I primarily focus on Vision–Language Models (VLMs) and advanced vision architectures, aiming to build both state-of-the-art models and compact, efficient models for low-resource environments, maintaining strong performance while reducing computational cost.

2. Efficient Computing: I also work on analysing computational bottlenecks in deep learning systems and improving efficiency through algorithmic redesign (fusion, sampling, quantisation), heterogeneous computing strategies.

3. Reinforcement Learning: With a background in Automation and Control Engineering, I am particularly interested in improving training efficiency and convergence in complex environments. I design methods and systems that enable reinforcement learning models to learn faster, generalise better, and require less interaction data.