Michael Sloma
Data Scientist II
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolMichael Sloma is a Data Scientist II based in Ann Arbor with nine years of hands-on experience applying machine learning and deep learning to real-world problems across autonomous mobility, healthcare, and defense sectors. He has built production-ready models and tools—from survival prediction systems for organ transplant matching to transformer-based event detection on traffic time series and vessel identification using custom geo-temporal metrics. Comfortable across the stack, Michael pairs exploratory data analysis and visualization with engineering practices such as GPU resource management, Dockerized dashboards, and automated testing pipelines. His background includes leading teams to deliver high-performance Python packages and interactive visualization suites for clinical applications, and operationalizing models at May Mobility and Woven by Toyota. Notably, he created the SnapshotGraph data structure for dynetworkx and has experience optimizing lab infrastructure and cluster management to accelerate deep learning research. He brings a blend of research rigor and pragmatic engineering that moves prototypes into repeatable, deployable systems.
9 years of coding experience
8 years of employment as a software developer
Computer Science and Engineering, Computer Science and Engineering at The University of Toledo
Github Skills (32)
ray8
optimization8
python8
reinforcement-learning8
parallel8
pytorch7
java7
machine-learning7
deep-learning7
hyperparameter-optimization6
tensorflow6
large-language-models6
scaling6
data-science6
automl5
Programming languages (4)
Github contributions (5)
msloma144/IEEE-LED-Project
Jan 2018 - Nov 2019
IEEE LED Project code using FastLED API
Contributions:6 PRs, 20 pushes, 6 branches in 1 year 9 months
apipythonledcode-projectdocker
msloma144/JavaDataStructures
Feb 2017 - Nov 2017
Contributions:2 PRs, 7 pushes, 2 branches in 8 months
javadata-structuresjava-data
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