Summary
Tobias Dummschat is a software developer specializing in machine learning who combines 8 years of engineering experience with a strong academic background in mathematics (MSc from Universität Hamburg) and a focus on graph theory. He has delivered production-focused ML systems—from a TÜV-certified data-driven balancing algorithm that halved resource usage to MLOps pipelines and industrial computer-vision prototypes—while improving software quality through CI/CD, packaging, and data validation. Comfortable across the stack, Tobias builds efficient Python prototypes (Polars), AWS infrastructure (CDK, Lambda, SageMaker), and model analysis that tunes architectures mathematically. He brings proven communication and teaching skills from five years tutoring and research collaboration, where he co-developed a visualization tool for abstract mathematical tangles. Curious and hands-on, he balances rigorous problem-solving with practical deployment, and outside work enjoys international cooking and reading about both fantasy and quantum computing.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS Mathematics, Master of Science - MS Mathematics at University of Hamburg
German, English, Danish