CV

Education, research, competitions, and skills.

Contact Information

Name MinJae Choi
Professional Title Undergraduate Researcher — Efficient ML & Foundation Model Systems
Email minjaechoi.cs@gmail.com

Professional Summary

My research interests lie in Efficient ML, especially for AI foundation models, with a focus on end-to-end foundation model systems spanning architecture design, large-scale training, low-bit quantization, efficient deployment, and inference kernel optimization. I am also interested in theoretical computer science, particularly algorithmic graph structure theory and algorithm design for NP-hard problems.

Experience

  • 2026 - Present

    KAIST, Daejeon

    Undergraduate Researcher
    Flexible Machine Learning Lab, KAIST
    Advisor: Prof. Insu Han.
    • Co-advised by Prof. Sukmin Yun (Vision AI Lab, Hanyang Univ. ERICA)
    • Collaborated with Samsung Electronics DS Division
  • 2026 - 2026

    Daejeon, South Korea

    Head of Promotion
    KAIST Include
  • 2025 - 2025

    KAIST, Daejeon

    Student Ambassador
    Google Gemini Student Ambassador — Team KAIST Include
    • Received Phase 1 Second Best Activity Team Award

Education

  • 2025 - Present

    Daejeon, South Korea

    B.S.
    Korea Advanced Institute of Science and Technology (KAIST)
    Computer Science; AI Systems (Double Major); Mathematics (Minor)
    • Advisor: Prof. Sungeui Yoon (School of Computing)

Skills

Programming Languages: Python, SQL, C/C++, Rust, Scala
ML Library: PyTorch
Cloud Service: Azure, AWS
High-Performance Computing: Triton, CUDA
Product Design: Rhino, Fusion360, KeyShot

Training

NPU Design Course: KAIST PIM Semiconductor Design Research Center — May 2026. DNN Core Operation, NPU Architecture, NPU SW Stack & Mapping, Advanced NPU Design.
LG Aimers (8th): LG AI Research — Jan 2026 – Mar 2026. Fundamentals of Large Language Models, LLM Compression.

Projects

  • 2026 - Present
    Samsung Electronics (Device Solution Division) — Trillion-Scale Language Model Quantization

    Industrial collaboration project on near-1-bit quantization for trillion-scale foundation models, carried out with the Flexible Machine Learning Lab.

  • 2026 - 2026
    ZipJiGi — 2026 KB Financial AI Challenge

    Hosted by KB Kookmin Bank, with Yelim Lee.

    • 🏆 Won Excellence Award (KT Award), Top 1.33% — $2,207.86 cash prize, hiring perks
    • GitHub repo
    • Demo video
  • 2026 - 2026
    NVIDIA Nemotron 3 30B Model LoRA Adapter Development

    2026 NVIDIA Nemotron3 Reasoning Challenge, with Jiseok Son and Seungsu Lee.

  • 2026 - 2026
    LG AI Research EXAONE 4 1.2B Model Quantization

    2026 LG AI Research EXAONE Compression Competition, with Jiseok Son, Seungsu Lee, and Chaewon Lee.

    • 🏆 Top 3% in Semifinal Round, advanced to the Final Round
  • 2025 - 2026
    AMPLIFY — Question Driven Collective Learning Platform

    Participated in the Microsoft Imagine Cup 2026 MVP Round.

  • 2022 - 2023
    EASY COACH — Vision-based Coaching Platform

    A computer-vision-based posture correction tool that automatically analyzes and coaches exercise form.

Certificates

  • SQL Developer (SQLD) - Korea Data Agency (K-DATA) (2025)

Languages

Korean : Native
English : Advanced — TOEIC 935/990 (2026.02.28)

Advisor

Insu Han: Associate Professor at KAIST School of Electrical Engineering
Sukmin Yun: Assistant Professor at Hanyang Univ. ERICA, Dept. of Artificial Intelligence
Sungeui Yoon: Associate Professor at KAIST School of Computing

References

  • Yelim Lee

    BS in Software Engineering and Financial Engineering at Ajou University

  • Jiseok Son

    BS in Computer Engineering at Hongik University

  • Seungsu Lee

    BS in Computer Engineering at Hansung University

  • Chaewon Lee

    BS in Mathematics and Computer Science at Sogang University