Jeongmin Park

Jeongmin Park 박정민

M.S. Student · SILAB, KAIST

Flow Map Alignment & Multi-agentic Systems

I enjoy turning new AI research into tools that solve real problems, and sharing what I learn along the way. Always open to research collaborations, discussions, or a casual chat.

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📰News

  • [CS588] Lecture PR: Retrieval-Augmented 3D Generation
  • Began my M.S. in Data Science at KAIST, and joined SILAB, advised by Prof. Jinkyoo Park.
  • Participated in LG Aimers #8 (until 2026.02)An AI hackathon on pruning EXAONE 4.0 for lightweight deployment.
  • Participated in LG Aimers #7 (until 2025.08)An AI hackathon on restaurant demand forecasting.
  • Research intern at Big Data Intelligence Lab, KAIST (Advisor: Jiyoung Whang). (until 2025.08)
more…
  • Study lead at Include (AI club) — ran Deep Learning, Diffusion, and GNN study groups. (until 2026.01)
  • Won 3rd prize at the LG Electronics Data Science Contest #3.
  • 3rd Data Science Contest, with LG Electronics

🎓Education

  • M.S. in Data Science
    KAIST · Feb 2026 - Present
    Research focus: Flow Map Alignment, Reinforcement Learning, and Multi-agentic Systems.
  • B.S. in Computer Science, Double Major in Mathematics and Industrial Engineering
    KAIST · Feb 2019 - Feb 2026
    Undergraduate studies in computer science with a focus on AI and data science. GPA 3.68/4.3(200 credits).
  • High School Diploma
    Daegu Science High School · Feb 2016 - Jan 2019
    GPA: 3.68/4.3 (181 credits), with Mathematical Sciences GPA: 4.3/4.3 (36 credits).

📄Publications

Publication notes are short posts where I explain each paper in plain language, including motivation, key idea, and takeaways.

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