Bui Xuan Hai

AI Engineer | Machine Learning Specialist

Transforming Data into Intelligent Solutions

Explore My Work

About Me

I'm a fourth-year Information Technology student at the Posts and Telecommunications Institute of Technology (PTIT), with 6 months of hands-on experience as an AI Engineer at Viettel Networks. My passion lies in building intelligent systems that leverage deep learning, computer vision, and machine learning frameworks. With a strong foundation in mathematics, data structures, and algorithms, I transform complex problems into practical AI solutions.

Technical Skills

AI/ML Frameworks

  • PyTorch
  • TensorFlow
  • Scikit-learn
  • LangChain
  • Pandas & NumPy

Programming Languages

  • Python (Expert)
  • C/C++
  • Java Core
  • SQL Query

Specialized AI Skills

  • Computer Vision (YOLO)
  • Deep Learning
  • Prompt Engineering
  • Fine-tuning Models
  • RAG Architecture

Backend & Deployment

  • FastAPI
  • Docker
  • Node.js (Basic)
  • MySQL, SQL Server
  • Git & Github

Database & Tools

  • MySQL
  • SQL Server
  • Oracle
  • FAISS (Vector DB)
  • Gradio

DevOps & Tools

  • Docker
  • Linux
  • ComfyUI
  • n8n
  • Cloud VMs (Azure, AWS)

Featured Projects

🚗 License Plate Detection & Recognition

A comprehensive computer vision system for parking lot management that detects and recognizes license plates with 94% precision using trained deep learning models.

Key Achievements:

  • ✓ 94% precision on Kaggle dataset
  • ✓ Multi-version models (YOLOv5, YOLOv8)
  • ✓ Fine-tuned OCR for text recognition
  • ✓ Full-stack web implementation
YOLOv5/v8 PaddleOCR FastAPI MySQL JavaScript

💬 RAG Chatbot for Hotel Services

An intelligent retrieval-augmented generation chatbot that handles hotel service queries with persistent knowledge base and smart fallback mechanisms.

Key Achievements:

  • ✓ FAISS-based vector retrieval
  • ✓ Context-aware responses
  • ✓ Fallback mechanism for missing data
  • ✓ Ready for web integration
LangChain FAISS HuggingFace Ollama RAG

🎬 Film Recommendation System

A hybrid recommendation engine combining content-based and collaborative filtering approaches with comprehensive preprocessing and multi-metric evaluation.

Key Achievements:

  • ✓ 4 recommendation algorithms
  • ✓ 5-stage preprocessing pipeline
  • ✓ Hybrid approach best performance
  • ✓ Cold-start problem handling
Scikit-learn Pandas SVD TF-IDF NumPy

⚡ Virtual Try-On Research

Deep learning research project for real-time virtual clothing try-on with practical applications in e-commerce, utilizing diffusion models and cloud-based training infrastructure.

Key Achievements:

  • ✓ Diffusion models implementation
  • ✓ Cloud training (Azure, AWS)
  • ✓ Gradio UI integration
  • ✓ ComfyUI workflow expertise
Diffusion Models PyTorch Gradio ComfyUI Azure/AWS

Work Experience

🤖 AI Engineer

Viettel Networks

2025 - Present

Hanoi, Vietnam

🔬 AI Research Assistant for PhD

Lab Naver - PTIT

Apr 2024 - Present

Hanoi, Vietnam

👨‍💼 AI Research Assistant - Virtual Try-On Project

Naver - PTIT Research

In Progress

Hanoi, Vietnam (Team: 2 Members)

Education & Certifications

Posts and Telecommunications Institute of Technology (PTIT)

Information Technology - High Quality Program

Hanoi, Vietnam
📅 2022 - 2027

🏆 Awards

  • Naver's AI PTIT Challenge - Consolation Prize 2024

📜 Certifications

  • Artificial Intelligence with Python (Naver x PTIT Course)
  • Applications of Algorithm (Naver x PTIT Course)
  • Deep Learning Specialization - Coursera
  • Machine Learning Specialization - Coursera

Thai Binh Gifted High School

Informatics Specialization

Thai Binh, Vietnam
📅 2019 - 2022

🏆 Achievements

  • Gold Medal - Violympic National 2014-2015
  • TOEFL ITP Certification - Level B1 (2022)

Get In Touch

📍 Location

Ha Dong, Ha Noi, Vietnam

📱 Phone

0988552258

💻 GitHub

github.com/buihai226