Matthias Kotzerke

Data Engineer - ML Ops at Makersite

Matthias Kotzerke has a combination of work experience in data engineering and software development. Matthias is currently employed at Makersite as a Data Engineer - ML Ops, starting in May 2023. Prior to this, they worked as a Master Student Informatik at Studium from September 2020 to May 2023. During this time, Matthias conducted research on the effectiveness of length control for text summarization and evaluated different models using various metrics.

Before joining Studium, Matthias worked as a Python Developer at DATA AHEAD AG from October 2018 to March 2020. In this role, they developed and deployed a manufacturing analytics solution that improved productivity and enabled real-time monitoring of production chains. Matthias also built pipelines to gather and process data from machines and implemented a Gitlab-CI Pipeline to improve efficiency in the build and deployment process. Matthias also had regular meetings with clients to enhance product development.

Prior to their position at DATA AHEAD AG, Matthias had a gap year in Asia as a self-employed individual from October 2017 to October 2018. During this time, they designed and developed a data intelligence tool for real estate agents to identify profitable foreclosure properties. Matthias scraped, processed, and cleaned data from various government sources.

Matthias's earliest work experience was at the Federal Office for Information Security (BSI) from October 2016 to October 2017. Matthias worked in the Lagezentrum BSI, where they customized an open-source intelligence gathering and analysis tool for the National IT Situation Centre. Matthias also conducted data analysis on IT-security threats and led daily security briefings.

Matthias Kotzerke completed their Bachelor of Applied Science (BASc) in Computer Science at Bonn-Rhein-Sieg University of Applied Sciences from 2013 to 2016. Matthias then pursued their Master's degree in Informatik at Technische Hochschule Nürnberg Georg Simon Ohm, starting in 2020 and expected to complete in 2023.

Links


Timeline

  • Data Engineer - ML Ops

    May, 2023 - present