Matthew Kovacs
Data Scientist
Charlotte, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolMatthew Kovacs is a data scientist with 11 years of experience applying machine learning to solve business and research problems across energy, automotive aftermarket, finance, and academia. He designs and deploys ML models to AWS and Azure, with a track record of productionizing pipelines at Duke Energy and Daimler Trucks North America. His background in biochemistry and computational research informs a data-first approach to complex scientific and operational problems, including building a mass-spectrometry ML pipeline during his graduate work. An active contributor to open-source, he’s improved back-end tooling for the popular Lutris desktop client by automating DXVK version updates and caching to enhance compatibility. Based in Charlotte, NC, he combines practical cloud deployment skills with scientific rigor to turn noisy data into actionable outcomes.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Data Science and Business Analytics, Master of Science - MS, Data Science and Business Analytics at University of North Carolina at CharlotteThe University of Maryland, College Park
Hungarian
Github Skills (8)
app-launcher10
python10
gam10
application-launcher10
launcher10
api9
interaction9
caching8
Programming languages (1)
Github contributions (5)
lutris/lutris
Aug 2018 - May 2019
Lutris desktop client
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 1 PR, 4 comments in 9 months
Contributions summary:Matthew focused on updating and optimizing the Lutris desktop client, specifically related to DXVK integration. Their contributions included automating the update process for the latest DXVK versions, caching these versions for efficiency, and merging updates. These changes indicate a focus on maintaining and improving the compatibility of the Lutris client with DirectX to Vulkan translation, which enhances the gaming experience. The work involved modifying Python scripts to interact with GitHub APIs and manage local caches.
pygobjectpythongaminggame-launcherpython3
matthewkovacs/spark-tutorials
May 2016 - Oct 2017
Contributions:1 push, 1 branch in 1 year 4 months
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