Summary
Niklas Bauer is a Senior MLOps Engineer with nine years of hands-on experience building web and ML systems, currently focused on productionizing pipelines using Kubeflow, GitHub Actions, Docker and Python at DHL IT Services. His academic work centers on Explainable AI for unsupervised outlier detection in multivariate time series, blending research rigor from his master's thesis with practical deployment skills. Early roots in BAT scripts and Visual Basic evolved into full-stack web development, freelance site builds, and a strong emphasis on code quality through linting, testing, and Git hooks. Comfortable moving between research and operations, he brings a pragmatic mindset to make ML models interpretable and maintainable in production. Based in Saarbrücken, he pairs formal training from KIT and international study with a track record of translating prototypes into customer-facing solutions.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Information Management, Bachelor of Science - BS, Information Management at Hochschule Kaiserslautern / Kaiserslautern University of Applied Sciences
Ausbildung, Fachinformatiker der Anwendungsentwicklung, Ausbildung, Fachinformatiker der Anwendungsentwicklung at Technisch gewerbliches Berufsbildungszentrum 1 Saarbrücken
Auslandssemester, International Business Skills, Auslandssemester, International Business Skills at Hogeschool Utrecht
Master of Science - MS, Wirtschaftsinformatik, Master of Science - MS, Wirtschaftsinformatik at Karlsruher Institut für Technologie (KIT)
English, French, Dutch, German