cv

Basics

Name Jeonghoon Park
Label Undergraduate Student
Email hoonably@unist.ac.kr
Summary Undergraduate student at UNIST, researching On-device AI in constrained environments at UAI Lab.

Work

  • 2025.01 - Present
    Undergraduate Research Intern
    Ubiquitous AI Lab (UAI Lab)
    Research on On-Device AI, Human-Centered AI, and Adaptive & Personalized AI.
    • Supervisor: Prof. Taesik Gong
    • Presented academic papers in English
    • Experimented with on-device generation models
  • 2021.07 - 2024.07
    Math Instructor
    Topmath
    Taught math to students aged 14-19 with personalized instruction.
    • Primary (non-part-time) instructor
    • Taught 30+ students with personalized instruction
    • Tracked and improved student outcomes

Education

Awards

Skills

Artificial Intelligence
Computer Science

Languages

Korean
Native speaker
English
Intermediate

Volunteer

  • 2022.11 - 2024.08

    Incheon, Korea

    Public Service Agent & Volunteer Tutor
    Community Children's Center
    Served as a public service agent and volunteer at a community children's center, supporting administrative tasks and providing educational support to students.
    • Assisted with center management and child engagement activities
    • Tutored elementary to high school students across various subjects

Interests

Computer Science
Computer Architecture
Artificial Intelligence
On-device AI
Personalized AI
Hobby
Piano
Soccer
Cycle

References

Professor Taesik Gong
Jeonghoon is ...
Student Jaemin Kim
Jeonghoon is funny.

Projects

  • 2025.03 - 2025.06
    Pintos Project
    Implemented core OS components based on Stanford’s Pintos project: thread scheduling, system calls, user programs, virtual memory (demand paging, swapping, mmap), and extensible file system with indexed allocation. Gained deep insight into OS internals through hands-on implementation.
    • Thread scheduling and priority donation
    • Demand paging and mmap
    • File system with indexed allocation
  • 2025.04 - 2025.06
    Traveling Salesman Problem (TSP) Solver
    Implemented and analyzed classical TSP algorithms (Held-Karp, MST, Greedy, 2-opt) alongside a novel MCMF-based heuristic combining global flow and local refinement. Evaluated solution quality and runtime across diverse datasets.
    • Held-Karp, MST, 2-opt, and MCMF heuristic
    • Performance comparison and analysis
  • 2025.03 - 2025.04
    Sorting Algorithm Analysis
    Implemented and benchmarked 12 sorting algorithms under various input types and data conditions, analyzing performance, stability, and memory usage.
    • Benchmarking of 12 sorting algorithms
    • Analysis on stability and memory usage
  • 2025.01 - 2025.02
    TinyLLM - UAI Lab
    Investigated lightweight LLMs for on-device use. Evaluated accuracy and inference time of each model through various evaluation sets, exploring the tradeoffs in size, latency, and performance.
    • Evaluation of small LLMs in constrained environments
    • Trade-off analysis for on-device use cases