CV

Contact Information

Name Hyangsuk Min
Professional Title PhD Student, KAIST
Email hyangsuk.min@kaist.ac.kr

Professional Summary

PhD student at KAIST working on trustworthy AI agents, memory, and AI co-scientist systems.

Experience

  • 2022 - 2024

    Pangyo, Korea

    AI Research Engineer (M2MCx, SW Campus)
    HL Mando
    • Built auto-ML training, evaluation, and deployment pipelines for smart factory and vehicle diagnostics systems.
    • Developed on-premise MLOps infrastructure and CI/CD workflows for deep learning models using sensor and image data in production environments.
    • Designed synthetic data generation pipelines for vision inspection and uncharted driving scenarios under limited-data and distribution-shift settings.
    • Applied prompt engineering and domain adaptation to LLM-based OEM requirement classification and mixed-format document analysis.
    • Worked across the full ML lifecycle, including data analysis, model development, evaluation, deployment, and production monitoring.
  • 2018 - 2019

    San Jose, CA, USA

    ASIC Engineering Intern (Physical Design)
    Uniquify
    • Worked with overseas engineering teams on physical design, place-and-route (PnR), and engineering change order (ECO) workflows.
    • Developed Perl scripts to summarize timing reports and identify design violations.

Education

  • 2024 - present

    Daejeon, Korea

    PhD
    Korea Advanced Institute of Science and Technology (KAIST)
    Industrial Engineering
    • Advisor: Prof. Hwanjun Song
  • 2020 - 2022

    Daejeon, Korea

    MS
    Korea Advanced Institute of Science and Technology (KAIST)
    Graduate School of Data Science
    • Advisor: Prof. Jae-Gil Lee
    • GPA: 4.12/4.3
    • Thesis
  • 2015 - 2019

    Seoul, Korea

    BBA
    Kookmin University
    Bigdata Analysis and Statistics
    • GPA: 4.4/4.5

Awards

  • 2019
    Graduated Cum Laude
    Kookmin University

    GPA: 4.4/4.5

  • 2015
    Merit Scholarship
    Kookmin University

    Merit scholarships totaling approximately ₩17M (~$12,000) across 7 semesters for academic excellence (2 full, 5 partial).

Patents

  • Method and Apparatus for Predicting Fine-Grained Impact of COVID-19 on Local Economies — South Korea, Registration No. 1020220134903 (Oct 19, 2022)

Academic Service

Reviewer: ICML, ACL, EMNLP, NeurIPS, ICLR, Neural Networks

Teaching

  • Programming for Data Science (IE260), Teaching Assistant, KAIST — Spring 2026
  • Data Structures and Analysis (IE260), Teaching Assistant, KAIST — Spring 2025
  • LLM Fine-tuning with HuggingFace, Assistant Instructor, SK Telecom — Nov 2023

Certificates

  • ADP: Advanced Data Analytics Professional (2021)
  • SQLD: SQL Developer (2018)

Skills

Programming: Python (PyTorch), R, SQL, HTML/CSS

Languages

Korean : Native
English : Intermediate–Fluent
Spanish : Beginner

Interests

Research: Large Language Models, Human-AI Alignment, Data-Centric AI, Summarization and Evaluation, Trustworthy AI