Hey, I’m
Howon Kim
Experienced Computer Vision Engineer with a strong background in machine learning, data science, and software engineering. Currently employed at Ultium Cells LLC, a joint venture between GM and LG Energy Solution, where I analyze terabytes of data to prevent defects in battery manufacturing processes. Recognized with 1st Prize globally within LGES Corporation for outstanding data analysis. Proficient in Python, C++, and various vision technologies. Prior roles include High Performance Computing Engineer at Hewlett Packard Enterprise and Software Engineering Lead at ReviewMe, where I developed innovative machine learning models and secured government funding for patents. With a track record of success in diverse settings, from startups to established corporations, I bring expertise in computer science, algorithms, and technology management.
EXPERIENCE
Ultium Cells (GM)
August 2023 - Present
Ohio, US
- • Analyzed terabytes of data on Electrode Inspection to develop statistical models.
- • Developed deep learning algorithms for vision-based defect detection from images.
- • Utilized various optical techniques and camera systems including Keyence, Cognex, Basler.
- • Awarded 1st Prize in a Global Data Analysis Competition by LG Energy Solution.
- • Possess a systematic understanding of advanced manufacturing systems including PLC, SPC, and MES.
Ultium Cells (OEM)
April 2023 - Ausust 2023
Ohio, US
- • Utilized camera systems including Keyence, Cognex, Basler to create custom vision inspection software.
- • Integrated and optimized APIs of camera systems, enhancing functionality and streamlining workflows.
- • Leveraged programming skills in C++, MFC, WPF, and Python to deliver high-quality software solutions.
- • Developed deep learning algorithms utilizing large-scale data sets during manufacturing procedure to effectively identify defects in battery images.
Hwelett Packard Enterprise
January 2023 - February 2023
California, US
- • HPC engineer at National Energy Research Scientific Computing Center at Berkeley Lawrence Laboratory.
ReviewMe
September 2020 - December 2021
Seoul, Korea
- • Developed a custom deep learning model to evaluate human’s concentration level using facial components and brain waves. Facial analysis software is developed by Swift using MLKit, ARKit, and Vision frameworks.
- • Work as product manager with deeper understanding of various technology stacks work with external team.
- • Granted government AI funds for its patent of book recommendation system and machine learning model.
Samsung Electronics
June 2020 - August 2020
Suwon, Korea
- • Researched machine learning project optimizing notifications for efficient categorization and delivery.
- • Analyzed and optimized the legacy code of the Android framework.
- • Experienced in Git, documentation, agile development, and effective communication with team members.
- • Led weekly intern sprint planning sessions and daily stand-up meetings to manage milestones, prioritize tasks, and ensure timely completion of deliverables.
AltoyGames
January 2020 - June 2020
Seoul, Korea
- • Developed core components of game algorithm in C# and Unity 3D.
- • Developed first VR static FPS game to reduce eye strains and enhance gaming experience.
EDUCATION
University of California at Berkeley (UC Berkeley)
2017 - 2022
Berkeley, California, USA
- Bachelor's, Data Science