Summary
Tim Seidel is a data scientist and consultant with nine years of experience building ML-driven solutions and embedding data science into software testing and operations. Trained through a dual program at Airbus Defence & Space and with study time at USC, he brings deep exposure to data governance, engineering, analytics, and a master’s focus on AI underway at CU Boulder. At normalis GmbH he leads projects as product owner and project lead, currently delivering automated time-series anomaly detection for clients and pioneering LLM + RAG capabilities internally. Known for composure under pressure and collaborative leadership, he pairs practical consultancy at Rheinmetall with hands-on model development and deployment. Outside work he’s a licensed private pilot and two-decade golfer—signals of disciplined focus and a global, outdoors-oriented mindset that inform his pragmatic approach to complex technical problems.
9 years of coding experience
3 years of employment as a software developer
B.Sc., Computer Science and Business Administration - Data Science, 1,6 (German), B.Sc., Computer Science and Business Administration - Data Science, 1,6 (German) at Baden-Wuerttemberg Cooperative State University (DHBW)
Combined B.Sc., Computer Science and Business Administration (4 of 8 Semesters), Combined B.Sc., Computer Science and Business Administration (4 of 8 Semesters) at University of Southern California
International Baccalaureate Diploma, Highschool Honors Diploma & IGSCE Diploma, 39/45 Points, International Baccalaureate Diploma, Highschool Honors Diploma & IGSCE Diploma, 39/45 Points at The International School of Bremen
Master of Science - MS, Computer Science - Specialization Artificial Intelligence, 4.0 (American), Master of Science - MS, Computer Science - Specialization Artificial Intelligence, 4.0 (American) at University of Colorado Boulder
Spanish, German, English, Chinese