Aleksander Bapst
Machine Learning Engineer
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolAleksander Bapst is a Machine Learning Engineer based in San Diego with a decade of experience focused on computer vision, deep learning, automation, and real-time systems. He couples strong academic roots—BS from UIUC and dual MS degrees from Carnegie Mellon in Biomedical and Electrical & Computer Engineering—with hands-on curiosity and a tinkerer’s mindset. Aleksander excels at turning research-level models into practical, deployable vision solutions and enjoys optimizing pipelines for low-latency inference. His background in materials science and biomedical engineering gives him a multidisciplinary edge for solving sensor, imaging, and systems integration challenges. Known for meticulousness (near-perfect academic record) and a preference for experimental exploration, he brings both rigorous analysis and creative problem-solving to ML projects. Based in the U.S. West Coast, he thrives on bridging theory and production in real-world automation applications.
10 years of coding experience
University of Illinois Urbana-ChampaignMaster of Science - MS, Biomedical Engineering, 4.0/4.0, Master of Science - MS, Biomedical Engineering, 4.0/4.0 at Carnegie Mellon University
Github Skills (9)
ubuntu8
orangepi7
rockchip7
kernel7
arm6
embedded6
firmware6
linux6
nanopi5
Programming languages (2)
Github contributions (5)
abapst/myconfig
Mar 2018 - Aug 2022
Contributions:13 pushes, 1 branch in 4 years 5 months
abapst/gbrbm
May 2017 - Jan 2019
Contributions:3 commits, 2 pushes, 1 branch in 1 year 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.