Rahul Kumar

DevOps Engineer (WHK) at Fraunhofer IAIS - Enterprise Information Systems

Bonn, North Rhine-Westphalia, Germany
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Summary

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Senior
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Top School
Rahul Kumar is a DevOps and AI/ML engineer with nine years of experience who specializes in turning research-grade computer vision models into production-ready systems. Currently at Fraunhofer IAIS, he leads infrastructure and deployment for large AI initiatives (OIH, KI-NRW, GAIA‑X, OpenGPT‑X) using Kubernetes, Docker, Linux and Nginx while owning end-to-end MLOps workflows. His academic background (MSc in Geodetic Engineering with a focus on mobile sensing and robotics) drives a research-first approach to problems like plant phenotyping, stereo depth estimation and model uncertainty quantification. Equally comfortable in PyTorch model development and infrastructure automation, he bridges hyperparameter-sensitive model design with scalable deployment. Certified in Docker, Kubernetes and supercomputing, Rahul brings deep problem-solving from first principles and a track record of shipping reliable AI systems. He is seeking AI Engineer roles that leverage his unique mix of academic research and hands-on production experience.
code9 years of coding experience
bookMaster of Science - MS Geodetic Engineering - Mobile Sensing and Robotics, Master of Science - MS Geodetic Engineering - Mobile Sensing and Robotics at The University of Bonn
bookBachelor of Technology - BTech Electronics and Communication Engineering, Bachelor of Technology - BTech Electronics and Communication Engineering at Sharda University
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Github Skills (36)

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lunarvim9
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vim8
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edi7
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Programming languages (7)

JavaCLuaHTMLVim ScriptPythonEmacs Lisp

Github contributions (5)

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Contributions:7 commits, 7 pushes in 1 month
Rahul-fix/stereo-depth

Aug 2021 - Sep 2021

Contributions:7 pushes, 1 branch in 13 days
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Rahul Kumar - DevOps Engineer (WHK) at Fraunhofer IAIS - Enterprise Information Systems