I am a Data Science undergraduate and AI Engineer with a strong focus on computer vision, data pipelines, and machine learning architectures. I specialize in translating complex academic research into functional models and building robust data collection systems.
Machine Learning & AI
- Computer Vision: DINOv2, CLIP, BLIP, Optical Character Recognition (OCR)
- Algorithms & Models: Support Vector Machines (SVM), Vector Search (FAISS)
- Frameworks: PyTorch / TensorFlow (Adjust these based on what you actually use)
Data Engineering & Backend
- Data Collection: Web Scraping, Selenium
- Databases: MongoDB
Languages & Tools
- Programming: Python, TypeScript, HTML
- Environment: Jupyter Notebook, Git, Linux
- AI Engineer Intern @ CoverGo
- Research Assistant @ UTE-AI Lab
- Top 20 Excellent Students, Faculty of Information Technology (GPA: 3.75/4.0)
- 3rd Place, "Grow your coding talent" Competition
- LotusHackathon Top 20
- LinkedIn: https://www.linkedin.com/in/phú-đoàn-8b8202244/
- Email: phudoan161@gmail.com