CV

Education, research experience, teaching, honors, and selected projects.

Contact Information

Name Jeonghun Park
Professional Title Integrated M.S./Ph.D. Student
Email top321902@snu.ac.kr
Location Seoul, South Korea
Website https://pjh6029.github.io/

Professional Summary

Integrated M.S./Ph.D. student in Computer Science and Engineering at Seoul National University working on multimodal perception, commonsense reasoning, and agentic systems. I am interested in building reliable self-improving agents that connect perception, reasoning, and action in physical environments.

Experience

  • 2025 - 2025

    Seoul, South Korea

    Research Intern
    Human-Centered Computer System Lab, Seoul National University
    • Proposed and implemented a Code-Text Action (CoTA) agent that unified textual reasoning with syntactic code execution and achieved a 1.6x accuracy gain over a ReAct baseline.
    • Contributed to the Lumo project by developing AI agents and improving API-based tool-calling.
  • 2024 - 2024

    Seoul, South Korea

    Software Engineering Intern
    FADU
    • Built a scalable RAG pipeline over company-wide technical documents using multi-level chunking and robust document parsing with the Upstage API.
    • Implemented an abstraction layer for tool and provider integration, enabling flexible switching across multiple LLM providers and vector databases.
  • 2022 -

    Seoul, South Korea

    Teaching Assistant
    Seoul National University
    • Computer Programming (2022 Fall, Prof. Lee)
    • Logic Design (2024 Spring, Prof. Lee)
    • Programming Practice (2024 Fall, Prof. Jeon)
    • Basic Computing (2024 Fall, Prof. Kim; 2025 Spring, Prof. Yamada)

Education

  • 2026 -

    Seoul, South Korea

    Integrated M.S./Ph.D.
    Seoul National University
    Computer Science and Engineering
    • Physical & Interactive Intelligence Lab (Advisor: Youngjae Yu)
  • 2020 - 2026

    Seoul, South Korea

    B.S.
    Seoul National University
    Computer Science and Engineering
    • Major GPA: 4.09/4.3 (~4.28/4.5)
    • Overall GPA: 3.93/4.3 (~4.13/4.5), summa cum laude
    • 2022-2024 compulsory military service in the R.O.K. Air Force

Awards

  • 2020
    YongWoon Foundation Scholarship
    YongWoon Foundation

    Full undergraduate tuition scholarship spanning March 2020 through December 2026.

  • 2025
    Merit-based Scholarship
    Seoul National University

    Merit-based scholarship awarded in 2025.

Projects

  • Samsung NNTrainer Open-Source Contribution

    Improved training efficiency in an open-source deep learning framework.

    • Implemented gradient checkpointing, reducing training memory usage by up to 46%.
    • Added Sophia and Lion optimizers to improve convergence speed and reduce memory overhead.
  • ARC-AGI Solver

    Built an ARC-AGI solver for a deep learning course project and ranked 1st out of 35 teams on the hidden evaluation.

    • Fine-tuned Qwen3-4B with LoRA and curated augmentation.
    • Applied test-time training, grid-wise majority voting, and a fine-grained loss for efficient few-shot learning.
  • Minimal Deep Learning Framework

    Implemented a PyTorch-like framework focused on educational clarity and efficient execution.

    • Built a dynamic computation graph and define-by-run automatic differentiation engine from scratch.
    • Added GPU support via CuPy.
  • Perspective-Switching RPG Game in Unity

    Built an experimental game project around seamless 2D and 3D interaction.

    • Led project architecture and team pipeline setup with GitHub, Slack APIs, and CI integration.
    • Developed perspective-switching mechanics between 2D and 3D scenes.

Skills

Programming Languages: Python, C/C++, Java, RISC-V
ML/AI: PyTorch, TensorFlow, LangChain, OpenAI Agents SDK
Frameworks & Tools: Spring Boot, Django, RAG, ReAct

Interests

Research Interests: Multimodal Perception, Commonsense Reasoning, Computer-Use Agents, Self-Improving Agents, Physical AI