Thomas Kastl
Technical Lead at Mercedes-Benz AG
Stuttgart, Baden-Württemberg, Germany
Summary
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Rockstar🎓
Top SchoolThomas Kastl is a technical lead at Mercedes-Benz AG with eight years of experience turning data science research into production-ready automotive solutions. He progressed from data scientist to technical lead after contributions across autonomous driving, research assistance at KIT, and industry internships at Bosch and Daimler. Based in Stuttgart, he combines deep academic training (MSc, KIT) with hands-on expertise in applied ML and software engineering for mobility systems. Known for bridging research and product teams, he quietly champions reproducible pipelines and rigorous validation practices that reduce model drift in real-world vehicle deployments.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BSc), Bachelor of Science (BSc) at Universität Karlsruhe (TH) / University of KarlsruheMaster of Science (MSc), Master of Science (MSc) at Karlsruher Institut für Technologie (KIT)
Japanese, English, German
Github Skills (200)
python10
annotations10
data-manipulation10
standardized10
datasets10
mlops10
deep-learning10
label-studio10
labeling10
bounding-box10
bokeh10
dataframes10
pandas10
statistics10
training-data10
Programming languages (12)
Github contributions (5)
kasuteru/DnA
Jun 2022 - Jan 2024
Data and Analytics Platform provides A-Z solution for enterprises in Analytics area, from transparency on planned and ongoing activities up to providing open source components to realize them. All in self-service manner, cloud independent with minimum infrastructure footprint.
Contributions:23 pushes, 11 branches in 1 year 8 months
analyticsrealizea-zongoingindependent
kasuteru/dv
Sep 2019 - Dec 2019
Disk Usage Visualization
Contributions:14 PRs, 16 pushes, 4 branches in 2 months
diskdisk-usagevisualization
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