cv
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Basics
| Name | Ta Trung Tin |
| Label | Computer Science Student |
| tatrungtin2004@gmail.com | |
| Phone | +84 901 960 305 |
| Summary | Final-year Computer Science student specializing in Artificial Intelligence with strong interests in AI research, deep learning, and data science. Experienced in machine learning, robotics, and software development using Python and C++. Seeking opportunities to contribute to impactful real-world AI projects. |
Work
-
2024.05 - 2025.09 Engineer Intern
IVS JSC
Worked on autonomous robotics and AI-driven navigation systems.
- Programmed autonomous robots using ROS2, Python, and C++
- Researched and implemented deep learning and sampling-based path planning algorithms
Education
-
2022.09 - 2026.06 Bachelor of Engineering (Honours Program)
Ho Chi Minh University of Technology - VNU-HCM
Computer Science
- Artificial Intelligence
- Machine Learning
- Data Science
Projects
- 2025.06 - Present
Leveraging Knowledge Graph and Graph-based Deep Learning for Recommendation Systems
- Applied Graph Neural Networks and inductive subgraph reasoning
- Focused on limitations of existing GNN-based recommendation models
- - Present
Hallucination Detection in Large Language Models
- Fine-tuned PhoBERT and XLM-RoBERTa models
- Achieved Macro-F1 score of 0.77
- Used Hugging Face Transformers
- - Present
MiniTorch
- Implemented tensor operations and automatic differentiation
- Built neural network layers including CNNs and RNNs
- - Present
MiniGo Compiler
- Implemented lexer, parser, AST generator, static checker, and code generator
- Used Python and functional programming techniques
Certificates
| IELTS 7.0 | ||
| IDP Education | 2026-01-25 |
| Natural Language Processing Specialization | ||
| DeepLearning.AI (Coursera) | 2025-09-01 |
| Machine Learning Specialization | ||
| DeepLearning.AI / Stanford University (Coursera) | 2024-04-01 |
| ETS TOEIC 880 | ||
| ETS | 2023-04-01 |
Awards
- 2022.2025
Academic Encouragement Scholarship
HCMUT - VNU-HCM
Merit-based scholarship awarded for academic excellence (top 5% students each semester) over six consecutive semesters.
Languages
| English | |
| Professional working proficiency |