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Curriculum Vitae of Tạ Trung Tín

Basics

Name Tạ Trung Tín
Label Data Scientist @ Zalo · CS Honors Graduate @ HCMUT
Email tatrungtin2004@gmail.com
Url https://tinta2510.github.io
Summary Associate Data Scientist at Zalo Platforms working on song recommendation systems. CS Honors Graduate from HCMUT, VNUHCM with GPA 3.9/4.0.

Education

  • 2022.09 - 2026.06

    HCMC, Vietnam

    Bachelor of Engineering in Computer Science (Honors Program)
    Ho Chi Minh City University of Technology, VNUHCM
    Specialization: Applied Artificial Intelligence
    • GPA: 3.9/4.0. Program: Honors Program.
    • Academic Encouragement Scholarship: Awarded 6 out of 7 completed semesters for ranking in the top 5% of the cohort.
    • Thesis: Leveraging Knowledge Graph and Graph-based Deep Learning Models for Recommendation Systems (Grade: 9.4/10).

Publications

Work

  • 2026.10 - Present

    HCMC, Vietnam

    Associate Data Scientist
    Zalo Platforms Co., Ltd.
    Zing MP3 Recommendation Systems
    • Working on recommendation systems for Zing MP3, Vietnam’s leading music streaming platform.
  • 2026.07 - 2026.10

    HCMC, Vietnam

    AI Engineer Fresher
    Zalo Platforms Co., Ltd.
    Zalo Tech Fresher 2026
    • Selected as 1 of 37 engineers (1.4% acceptance) from 2,712 applicants for Zalo Tech Fresher 2026, placing freshers directly on production teams serving tens of millions of users.
  • 2024.05 - 2025.09

    HCMC, Vietnam

    Robotics Engineer Intern
    IVS JSC
    Autonomous Robotics and Motion Planning
    • Implemented and integrated ROS2 path-planning modules for autonomous robots in Python and C++, enabling real-time motion planning.
    • Developed and evaluated a geometric shortest-path algorithm for autonomous robots navigating in unknown environments with limited vision (research collaboration with Institute of Mathematical and Computational Sciences, HCMUT, VNUHCM).

Awards

Projects

  • 2025.01 - Present
    GraphRAG-based AI Research Assistant
    Multi-agent system for automated literature review
    • Designed a multi-agent system using LangGraph to automate literature review via multi-step planning, retrieval, and reasoning workflows.
    • Built a GraphRAG pipeline combining hybrid search and knowledge graph traversal in Neo4j for improved context retrieval.
    • Tools: Python, LangGraph, Neo4j, LLM.
  • 2024.01 - 2024.12
    Hallucination Detection in Large Language Models
    Fine-tuning PhoBERT and XLM-RoBERTa for LLM response reliability
    • Fine-tuned PhoBERT and XLM-RoBERTa for hallucination detection in LLM outputs, improving the reliability of generated responses.
    • Achieved Macro-F1 score of 0.77 on the Vihallu dataset.
    • Tools: Python, PyTorch, Hugging Face Transformers.

Languages

Vietnamese
Native
English
IELTS 7.0 · TOEIC 880