I am a Master's Student in Computer Science at the University of Science (VNU-HCM), specializing in Artificial Intelligence and Machine Learning.
I graduated with Honors (GPA 3.92/4.0) and completed an outstanding thesis on Generative AI.
I possess a hybrid skillset bridging AI research and scalable software engineering, with a strong interest in LLMs, recommendation systems, and AI-native products.
(Jul 2025 – Present)
Focus: AI-native Search, Recommendation Systems, Large Language Models
- Developed personalized recommendation systems for AI-driven search and social platforms.
- Fine-tuned large language models (LLMs) on domain-specific data to improve ranking and explainability.
- Implemented retrieval-augmented generation (RAG) pipelines with external knowledge sources.
- Integrated external LLM APIs for semantic search and personalized content delivery.
(Jul 2025)
Focus: DeepCDR Team, Cybersecurity
- Improved file type detection accuracy from 85% to 92% using deep learning models.
- Optimized model inference latency for production pipelines.
- Collaborated with security experts to align ML models with threat detection requirements.
(Apr 2024 – Jun 2025)
- Developed an AI document summarization agent, improving processing speed by 30%.
- Built and maintained data connectors using Embulk and REST APIs.
- Enhanced CLI tools to support QA and integration testing.
(Sept 2023 – Present)
- Conducted research on Generative AI, Stable Diffusion, and RAG.
- Published work on adversarial robustness and autonomous driving segmentation.
| Institution | Degree | Achievement | Year |
|---|---|---|---|
| University of Science – VNUHCM | M.Sc. Computer Science | In Progress | 2025 – Present |
| University of Science – VNUHCM | B.S. Computer Science | GPA 3.92/4.0 (Honors) | 2021 – 2025 |
| Languages | AI & Machine Learning | Backend & DevOps |
|---|---|---|
| Python · Java · C++ | PyTorch · TensorFlow · HuggingFace | Django · Docker · AWS |
| SQL · Shell · Ruby | OpenCV · LangChain · RAG | PostgreSQL · MongoDB · Embulk |
| Project | Tech Stack | Description |
|---|---|---|
| Embulk Marketo Plugin | Java · Ruby | Enhanced open-source plugin for Marketo REST API ingestion with improved scalability. |
| Question Answering System | BERT · Streamlit | Fine-tuned QA system with Google Search integration, improving response time by 25%. |
| Adversarial NLP Defense | PyTorch · TextAttack | Improved robustness from 0% to 95.24% using adversarial training. |
| Remote Control PC | Java · Socket | Built remote control app with process management and screen capture. |
- 🥇 Outstanding Student in Scientific Research (2023)
- 🏅 Top 100 Outstanding Students – VNU (2023)
- 🎓 Ranked 1st Best Student – Faculty of IT (2021)
- 🥉 Third Prize – Provincial Informatics Competition (2020)
- Machine Learning Specialization (Coursera)
- Udemy AI Associate
- FPT AI Compass
- Machine Learning Explainability
- Kaggle AI Ethics
- Kaggle Computer Vision
- Generative AI Completion