About

Robert Seidl

I’m a Principal Engineer working at the intersection of machine learning, generative AI and professional sport. I came to ML through mathematics — a diploma in maths and a PhD on large-scale inverse problems — and have spent the past eight years building production systems: computer-vision pipelines, real-time analytics for Grand Slam tennis, and LLM-powered applications that make complex analytics usable.

01 / Career & education
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
02 / Publications
Live Counter-Factual Analysis in Women’s Tennis
MIT Sloan Sports Analytics · 2022
PDF ↗
Dissecting the Tennis Rally
MIT Sloan Sports Analytics · 2021
PDF ↗
Full Waveform Inversion for Nondestructive Testing (PhD Thesis)
TU Munich · 2018
03 / Skills & tools

Machine Learning

PyTorch, TensorFlow, computer vision, time-series forecasting and MLOps for production systems.

Generative AI

LLM applications, RAG systems, prompt engineering and multi-modal AI.

Engineering

Python, SQL, AWS / GCP, data engineering and API development.