I am a dedicated Machine Learning Developer focusing on deploying models into production and building scalable, data-driven systems. My professional journey includes developing MLOps solutions and implementing cloud infrastructure, bridging the gap between research and real-world applications.Currently, I work on projects such as AI auditing systems and camera parameter optimization, collaborating closely with customers to integrate tailored solutions that meet their needs. I enjoy taking on complex challenges, learning new technologies, and working with others to create meaningful outcomes.
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Mlops EngineerAutoform GroupZurich, Switzerland
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Machine Learning EngineerFraunhofer Portugal Aicos Mar 2023 - PresentPorto, Portugal• Built the MLOps backend for an AI auditing system (AICeBlock), enabling users to train their ML pipelines on provisioned infrastructure with automatic logging for reproducibility.• Provisioned the infrastructure required for this MLOps backend on AWS (EKS, S3, EC2, RDS, Secret Store).• Developed a camera parameter tuning system in collaboration with an industry partner. The system ensures optimal image capture in dynamic environments and will be presented as a demo at ECCV 2024.• Supervised an Intern to build the internal ModelZoo, based on MLFlow.• Gave MLOps workshops to university students -
Graduate Machine Learning EngineerFraunhofer Institute For Production Technology Ipt Feb 2022 - Dec 2022Aachen, North Rhine-Westphalia, Germany• Created a meta-learning based Auto-ML system for semantic segmentation of biomedical cellular image data. The system performs comparably to commercially available options.• Worked in a team to create a software product in Python, hosted in frauenhofer cloud to be used by biomedical professionals. -
Teaching AssistantUniversity Of Groningen Sep 2021 - Apr 2022Groningen, Netherlands• Organized tutorials and graded for the following courses: Introduction to Machine Learning, Pattern Recognition, Computer Vision -
Software EngineerHanze Racing Division - Hard Apr 2021 - Sep 2021Groningen, Netherlands• Implementing and integrating SLAM into an existing simulation, Computer Vision for traffic cone detection.
Jan-Henner Roberg Education Details
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8.5/10 (Cum Laude)
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Artificial Intelligence
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Psychology
Frequently Asked Questions about Jan-Henner Roberg
What company does Jan-Henner Roberg work for?
Jan-Henner Roberg works for Autoform Group
What is Jan-Henner Roberg's role at the current company?
Jan-Henner Roberg's current role is MLOps Engineer.
What schools did Jan-Henner Roberg attend?
Jan-Henner Roberg attended University Of Groningen, University Of Groningen, University Of Groningen.
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