Bart Gebka
Applied AI Team Lead at Direct Supply
Milwaukee, Wisconsin, United States
Summary
👤
Senior🎓
Top SchoolBart Gebka is an Applied AI Team Lead at Direct Supply and a Master’s candidate in Applied Machine Learning at MSOE, bringing eight years of hands-on experience across data science, software engineering, and GPU-focused graphics work. He progressed internally from data science intern to team lead, shipping production AI solutions and tailoring generative models and architectures to domain-specific problems. His background includes internships at NVIDIA working on OpenGL/Vulkan rendering APIs and practical recommender system development at Foley & Lardner, giving him a rare blend of graphics/GPU programming and applied ML expertise. Comfortable with full-stack engineering practices from earlier roles, he pairs rigorous academic results (4.0 MS, 3.93 BS) with production delivery and mentorship. Outside core responsibilities he’s produced large-scale educational content and enjoys exploring computer graphics pipelines that inform his model and systems thinking. That combination of production AI leadership and low-level graphics/GPU experience makes him well-suited for cross-disciplinary ML engineering challenges.
9 years of coding experience
5 years of employment as a software developer
High School Diploma, High School Diploma at Huntley High SchoolMaster of Science - MS, Applied Machine Learning, 4.0, Master of Science - MS, Applied Machine Learning, 4.0 at Milwaukee School of Engineering
English, Polish, Spanish
Github Skills (16)
javascript6
self-supervised-learning5
windows-forms5
opencl4
gpio4
csharp4
jetson3
pytorch3
windows3
pool3
cpp2
cuda1
minecraft1
jetson-xavier1
minecraft-fabric1
Programming languages (5)
Github contributions (5)
bart1259/CLRayTracer
Dec 2020 - Oct 2021
An OpenCL RayTracer written in C# Windows Forms
Contributions:2 releases, 3 commits, 1 PR in 10 months
csharpopenclwindowswindows-forms
bart1259/UnityHexPlanet
Nov 2022 - Nov 2022
Contributions:1 release, 6 commits, 4 pushes in 4 days
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