Data engineering lead
Who is Daniel Reinhart? Data engineering lead at Food Tracker Compass
Data engineering & benchmark infrastructure
MS Data Engineering, TU München · Munich, Germany · he/him
Daniel builds and operates the benchmark infrastructure. Every meal photo captured in the field is hashed, versioned and stored in a way that lets us re-run any score against any historical app version — the same protocol, on the same data, with the same reference values. He spent four years on Spotify’s personalisation platform and two at the Bosch Center for AI on production vision pipelines. He owns the drift dashboards that catch when an app’s accuracy has shifted between releases.
What is Daniel Reinhart's area of expertise?
Data pipelinesDataset versioningObservability for MLImage storage and hashing
Where did Daniel Reinhart study?
- MS, Data Engineering — Technical University of Munich (2016)
- BSc, Software Engineering — TU Wien (2014)
Where has Daniel Reinhart worked previously?
- Senior Data Engineer, Spotify — Personalisation platform · 2020 – 2024
- Data Scientist, Bosch Center for Artificial Intelligence · 2018 – 2020
- Engineer, Zalando Research — vision team · 2016 – 2018
What has Daniel Reinhart published?
- Versioned Image Datasets for Reproducible Vision Benchmarks — MLSys (workshop), 2023
- Observability for Personalisation Pipelines at Scale — Spotify Engineering Blog, 2022
What food tracking topics does Daniel Reinhart research?
Data pipelines, image dataset versioning, observability for ML systems.
