Ryan Kim

Software Engineer

About Me

Hi, I'm Ryan Kim, a software engineer currently developing real-time perception and machine learning pipelines for next generation automotive LiDAR at Cepton. I hold a Master's degree in Computer Science from the University of Michigan, where I also completed my Bachelor's degree. I have strong background in system development (OS, compilers, embedded systems, etc), and I enjoy projects across the software stack, from low-level systems programming to high-level application development.

Projects

Reverse Engineering a Welch Allyn Propaq Encore ECG (In progress)

A deep dive in determining how an older ECG works, and trying to extract information over serial.

SLAM Demo

A Rust + WASM demo for visualizing error propagation in SLAM applications with procedural maps.

Work Experience

Perception Software Engineer @ Cepton
San Jose, CA
June 2025 – Present
Developing real-time perception pipelines for next generation automotive LiDAR with machine learning.

Researcher @ University of Michigan
Ann Arbor, MI
September 2021 - May 2025
Researcher with Dr. Kimberlee Kearfott in the Radiological Health Engineering Laboratory (RHElab). Developed software for radiation detectors including the Do-It-Yourself Geiger Muller (DIYgm) detector and RadMap, a spectroscopic detector using a sound card ADC. Published on the design and implementation of the Radiation Weather Station Lite (RWSlite), a low-cost system for the measurement of environmental radiation and weather data.

Software Engineer Intern @ Mathworks
Natick, MA
May 2024 - August 2024
Implementated support for TFlite quantization with MLIR.

Software Engineer Intern @ Mathworks
Natick, MA
May 2023 - August 2023
Pioneered Vulkan code generation backend with MLIR for model inferencing

Education

M.S.E in Computer Science
University of Michigan, Ann Arbor
Graduation: May 2025
GPA: 4.0

B.S.E in Computer Science
University of Michigan, Ann Arbor
Graduation: May 2024
GPA: 3.9, Minor in German Language

Contact

You can reach me via: