Lukas Pfannschmidt
Tech Lead - Machine Learning Platform @Trade Republic
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WORK HISTORY
Tech Lead - Machine Learning Platform @Trade Republic
Lead a team building the real-time ML inference platform for financial crime detection: fraud, money laundering, and sanctions screening- Platform serves tens of millions of predictions daily across 30+ ML models in real-time within the transaction path, at low-latency and high availability- Drove migration from managed cloud services to Kubernetes, reducing infrastructure costs while improving deployment flexibility- Designed for development agility: data scientists ship new models independently with short code-to-production cycles, no platform team bottleneck- Established multi-layered automated safety: validation, canary rollouts with health checks, and progressive traffic shifting ensure production reliability without slowing delivery- Built and operate a ClickHouse-based real-time feature store processing hundreds of millions of events daily
EDUCATION
Bielefeld University
Master of Science (M.Sc.), Bioinformatik und Genomforschung
Bielefeld University
Bachelor of Science (B.Sc.), Bioinformatik und Genomforschung
Bielefeld University
Dr. rer. nat., Machine Learning
SKILLS
ABOUT LUKAS PFANNSCHMIDT
A Machine Learning Engineer with experience in cloud and backend engineering, emphasizing machine learning operations. Knowledgeable in Python, Java, Julia, PostgreSQL, and SDK development, along with deployment tools such as Docker, Kubernetes, Terraform, and AWS services. Experienced in implementing AI solutions e.g. using large language models for text matching and information extraction. Capable of collaborating with interdisciplinary teams and contributing to international projects, with a history of publishing and presenting peer-reviewed articles in the machine learning domain. Demonstrated tech leadership in driving innovation and improving processes.
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