Jonghyun Choe

Carnegie Mellon University

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Hi, I am a Masters in Computer Science (MSCS) student at Carnegie Mellon 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

Jul 7, 2025 I was selected to participate in Jane Street SEE, and had the opportunity to meet software engineers and learn about its systems.
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 20, 2025 I had the opportunity to receieve mentoring from Google Korea CEO Harrison Kim and discuss career trajectories related to ML systems.
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

Awards

Work

  • 2025.01 - 2025.05
    Research Intern
    NVIDIA / Speech AI Lab
    Advisor: Namjoon Kim, NVIDIA / Speech AI Lab, Hyungon Ryu, NVIDIA
    • Optimized LLM inference on edge devices by exploiting Jetson’s unified memory architecture
    • Researched KV Cache reuse system with external storage devices including SSDs
  • 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