Summary
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.
9 years of coding experience
Master of Science - MS Geodetic Engineering - Mobile Sensing and Robotics, Master of Science - MS Geodetic Engineering - Mobile Sensing and Robotics at The University of Bonn
Bachelor of Technology - BTech Electronics and Communication Engineering, Bachelor of Technology - BTech Electronics and Communication Engineering at Sharda University