About Me
I am an AI Deep Learning Researcher, focused on exploring deep learning methods and building practical AI systems. I am also pursuing a Master of Software Engineering at FSB.
With over a decade of hands-on experience, I combine software engineering with AI research: from framing real-world problems and designing experiments to building web, mobile, automation, AI, and game systems. My goal is to turn research into maintainable software that creates measurable value for organizations and users.
Professional Experience & Projects
Generative AI Model ResearchAI Deep Learning ResearcherOngoing ResearchResearching generative AI models and their practical capabilities, with image synthesis as one current use case. Experiments with DiT have produced noticeably stronger visual results than the convolutional U-Net diffusion baseline.
- Explore generative model architectures, training methods, and evaluation workflows across multiple use cases, with image synthesis as one active research direction.
- Built and evaluated a DDPM convolutional U-Net baseline at 128 × 128 resolution with 300 diffusion steps, visualizing the denoising trajectory from noise to a coherent image.
- Extended the experiments to Diffusion Transformer (DiT) architectures and observed clear improvements in global structure, detail, and visual coherence over the U-Net baseline.
- Compare sample quality, training convergence, and generation stability to guide further experiments and model iterations.
- Tech stack: Python, PyTorch, diffusion models, U-Net, DiT, Transformers, computer vision.
3D Game DevelopmentUnity DeveloperFeb 2022 – Oct 2025Developed real-time multiplayer features and synchronized player states for an immersive 3D virtual social game.
- Programmed real-time multiplayer interactions and network synchronization using Photon.
- Implemented a dynamic 3D Outfit customization system allowing users to change character clothing in real-time.
- Optimized game asset pipelines and drastically reduced initial bundle size using Unity Addressables for on-demand lazy loading.
- Leveraged Nakama and Go for server-side systems, including user profiles, store purchase validation, and seasonal LiveOps events.
- Tech stack: Unity, C#, Go, Nakama, Photon.
Autonomous AI Agent for Market InsightsPrincipal AI DeveloperResearch & Core ProjectDesigned a market research agent system to automate competitive intelligence and sentiment analysis.
- Built autonomous workflows using LangChain and LangGraph to coordinate research loops.
- Implemented self-correcting prompt workflows and iterative validation steps to improve report reliability.
- Tech stack: LangChain, LangGraph, Python (FastAPI), Redis.
Education & Certifications
FPT University (2025 – Present)
Sai Gon University (2009 – 2014)
Professional Certifications
Deep Learning↗
DeepLearning.AI | Completed 2026
This program covers neural networks and deep learning; hyperparameter tuning, regularization, and optimization; structuring machine learning projects; convolutional neural networks; and sequence models.
Machine Learning↗
Stanford Online | Completed 2026
This course covers the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, and reinforcement learning.
Google AI Professional Certificate↗
Google | Completed 2026
This program covers effective prompting, output evaluation, and the practical use of AI tools in the workplace.