Robert Seidl
Principal Engineer | Machine Learning, GenAI & Sports Analytics
Building production ML systems that power real-time analytics for professional sports worldwide. From computer vision pipelines to LLM-powered applications, I lead AI initiatives at the intersection of sports and technology.
Experience
Principal Engineer, AI & ML Sportradar · Zürich 2025-
Lead Data Scientist - GenAI Stats Perform 2024-25
Lead Data Scientist - Tennis AI Stats Perform 2021-23
Lead Data Scientist Tennis Australia 2020-21
Senior Data Scientist Sportec Solutions 2020
Senior DS - Football Analytics SciSports 2019
Head of Data Science ParkHere 2018
Education
PhD Computer Science TU Munich 2012-18
MSc Computational Science TU Munich 2009-11
Diploma Mathematics LMU München 2002-08
Publications
PhD Thesis - Computational Methods TU Munich 2018
Skills & Technologies
Machine Learning
PyTorch, TensorFlow, Computer Vision, Time Series, MLOps
Generative AI
LLM Applications, RAG Systems, Prompt Engineering, Multi-modal AI
Engineering
Python, SQL, AWS/GCP, Data Engineering, API Development