I'm passionate about building intelligent systems that connect AI models with real-world web applications.
My projects focus on combining Deep Learning algorithms with modern frontend and backend frameworks, creating seamless interactive AI-powered experiences.

AI / ML / DL:
Python, PyTorch, TensorFlow, Scikit-learn, OpenCV, Transformers

Web Integration:
Flask, FastAPI, Node.js, React, RESTful API, WebSocket, Figma API

Others:
Docker, Git, Jupyter, Linux, SQLite, AWS

A collection of fundamental AI search algorithms implemented from scratch, including DFS, BFS, A*, Dijkstra, and Greedy Best-First Search.
Each algorithm is visualized through graph-based exploration and includes step-by-step explanation for educational and research use.
👉 Python, Graph Theory, Search Trees, Visualization

Research-driven project proposing an algorithm for multi-robot pathfinding in hybrid static–dynamic environments, integrating local obstacle avoidance with global path optimization.
This project resulted in a published paper where I am the first author, focusing on improving efficiency and adaptability of cooperative robot navigation systems.
👉 Python, Reinforcement Learning, Path Planning, Simulation, Matplotlib

Jupyter Notebook experiments using Contrastive Learning for image-text representation alignment.
👉 PyTorch, CLIP-style architecture

• Integrating AI models into interactive web UIs using Flask + React
• Experimenting with Deep Learning model deployment via REST APIs
• Researching Efficient Inference and Edge AI for low-power environments

• Neural Network Optimization
• Vision-Language Models
• AI Deployment in Web Environments

📍 Hanoi, Vietnam
🌐 LinkedIn
📧 Email

⭐ “I code for real — where AI meets Web Engineering.”