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.
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Makersite
Makersite is a cloud-based product data management tool that helps companies manage product sustainability, cost, and compliance. Product life cycle management involves making design decisions based on multiple criteria including cost, compliance, sustainability, and risk. Unfortunately, the data and expertise required to make these decisions aresiloed. This protracts the process of innovation and increases its complexity. Today, the market solves this problem with vertical applications like PDM, ERP, CAD, EHS, SCM, etc. These mostly remain siloed due to the enormous costs of integration and keeping data synchronized. Therefore, analyses typically require exporting data to aggregation tools e.g. BI or excel before being used for analyses in specialist decision support applications. Results are typically delayed, some taking as much as 9 months, and therefore provide little support during the design process. Makersite provides results instantly and simultaneously across key product criteria.Makersite combines external and internal data sources to create a digital twin of a product in design. Artificial intelligence and its graph-based data model allow for ingesting, representing, and connecting heterogeneous data easily. Its native applications use algorithms to support analysis and decision-making based on multiple criteria simultaneously including should-costs, regulatory compliance, life cycle impacts (LCA), supply chain risk, etc. The API-first architecture allows for easy integrations into existing IT infrastructures thereby supporting systems and processes with richer, fresher, and more timely product data.This allows engineers to understand and improve their designs from the perspective of their regulatory compliance, environmental impact, supply risk, and cost of production, simultaneously. Companies can get results up to 40x faster than traditional methods while making their products better.