Jonghyun Choe

Seoul National University

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Hi, I am an undergraduate student majoring in Computer Science at Seoul National University.

I am interested in areas of large-scale systems, computer architecture, and hardware/software co-design. My goal is to optimize emerging workloads across the software, hardware stack to improve the efficiency of large-scale systems.

I lived abroad in United States and China for 10 years. I really enjoy learning new things and connecting with people, so please feel free to reach out for a talk!

News

Mar 15, 2025 Our paper “Worst Case Response Time Analysis for Completely Fair Scheduling in Linux Systems” is accepted to Real-Time Systems Journal!
Feb 5, 2025 I started participating in AI Compiler Study, led by Taehoon Kim. Our goal is to study reverse engineering of DeepSeek-V3 and implement optimization techniques.
Jan 22, 2025 I won the Grand Prize at 2025 AWS Solve-A-Thon! Our project aimed to improve reasoning ability of younger generations through guidance generated with LLM.
Sep 10, 2024 I attended IEEE ETFA 2024 held in Padova, Italy with the generous funding from Specialized Semiconductor Scholarship.
Mar 15, 2024 I received Outstanding Teaching Assistant Award for Computer Architecture course.
Feb 24, 2024 I won 1st place at Accelerator Programming School CUDA Competition with Jake Hyun.

About

Education

  • 2019.03 - Present
    Bachelor of Science
    Seoul National University
    Computer Science and Engineering
    • GPA: 3.81/4.0 (cumulative), 4.0/4.0 (final 2 years)

Awards

Work

  • 2024.01 - 2024.10
    Research Intern
    Architecture and Code Optimization Lab
    Advisor: Prof. Jae W. Lee, SNU
    • Researched CPU architecture for hiding memory stall latency through software-defined context
    • Researched dynamic low-rank approximation to improve LLM inference
  • 2023.07 - 2023.08
    Research Intern
    Co-design and Parallel Processing Lab
    Advisor: Prof. Soonhoi Ha, SNU
    • Developed Linux scheduler simulator for schedulability analysis
    • Researched probabilistic schedulability analysis for more efficient task scheduling and higher system utilization
  • 2021.06 - 2023.06
    Backend Engineer
    Dunamu Inc.
    • Architected robust user information collection system, handling large-scale workload from 600,000 users
    • Increased user engagement by 82.28% in community service by adding general stock forum and stockholder filters
  • 2020.12 - 2021.02
    Data Analyst Intern
    Hanwha Asset Management
    • Assisted in developing Korea’s first proprietary ESG evaluation system, establishing a structured process for assessing sustainability metrics across 1,000+ companies
    • Contributed to data migration by cleaning and validating data from legacy systems
  • 2019.12 - 2020.08
    Research Intern
    Big Data Studies Lab
    Advisor: Prof. Javier Cha, SNU
    • Researched energy efficiency of data centers, evaluating hardware, power delivery, and cooling components
    • Analyzed physical limitations of storage devices affecting big data operations

Languages

Korean
Native
English
Fluent