About Me

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.

Currently, I am working as an AI Engineer at a Japanese start-up MonoRevo Inc. I got my Bachelor’s degree from Ho Chi Minh University of Technology, Vietnam National University - Ho Chi Minh.

I’m always open to collaborations, discussions, and new opportunities. Feel free to reach out if you’re interested in my research or would like to discuss potential projects.

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.