Robin Holzinger

Building scalable data and ML systems for algorithmic decision making.

Master's in Computer Science, UC Berkeley EECS

Focus: Data Science

🎓 Education

• UC Berkeley EECS (2025–2026) – Fung Excellence Scholar focusing on Data Science and scalable ML Systems.
• ETH Zurich, Systems Group – BSc thesis on ML retraining policies, co-author of SIGMOD ‘25 paper “Modyn: Data-Centric Machine Learning Pipeline Orchestration”.
• Technical University of Munich (Bsc. Computer Science, Top 1%) – best.in.tum award for academic excellence.

👨‍💻 Work Experience

• QuantCo – Software & Data Engineer (Zurich & Munich) – Designed ML pipelines for healthcare, scaled multi-client ETL/ML deployments.
• La Famiglia VC & TUM Project – Led 14-person team to architect a large-scale data mining platform
• FINN – Backend Software Engineer (Munich) – Developed Python-based backends and automated data quality processes, resolving 95% of data quality issues through automation.

🏆 Selected Honors

• ETH Excellence Scholarship (ESOP) offer
• Fulbright Germany offer for master’s studies in the U.S.
• DAAD Scholarship holder for a U.S. master’s degree
• Studienstiftung des deutschen Volkes Scholar
• Max Weber Program scholarship recipient (top 200 graduates in Bavaria)
• National awards in Computer Science (BwInf) and Mathematics (LWMB) (state winner)