Robin Holzinger

TUM CS Graduate · Data Engineer · MLOps Researcher

Abstract

Education

[2024] ETH Zurich: Systems Group

• Bachelor thesis supervised by Prof. Ana Klimović | Grade 1.0 (German)
• Topic: “An Analysis of Drift- and Cost-Aware ML Retraining Triggering Policies in Modyn”
• Co-Author Sigmod ‘25: “Modyn: Data-Centric Machine Learning Pipeline Orchestration”

[2020 – 2024] Technical University of Munich (TUM)

• BSc. Computer Science | GPA 1.1 (German) | Top 1.5%
• best.in.tum - awarded to the top 2% of students at the Department of Informatics at TUM

[2019 – 2020] JGG Waldkirchen

• Abitur (equivalent to A-levels) | GPA 1.0 (873/900) | Top 0.5% in Bavaria
• Seminar paper: “The Mathematics of Computer Graphics”
• Focus: Informatics, Mathematics

Work Experience

[Oct. 2024 – Present] QuantCo (Zurich)

• Data and Software Engineer | Healthcare

[May 2023 – Sept. 2024] QuantCo (Munich, Zurich)

• Data Engineering Intern and Working Student | Healthcare
• Restructured ETL data and machine learning pipelines, building abstractions and adopting adequate packaging and CI standards.
• Built Python tooling for MSSQL Server, providing a more compact API compared to SQLAlchemy while accelerating tabular interfaces for Pandas, Polars, and Arrow.

[May 2022 – Nov 2022] FINN (Munich)

• Backend Software Engineering Working Student | Automotive
• Designed Python backends and REST-APIs.
• Installed data integrity tests within a data warehouse.

Research Experience

THESIS & RESEARCH INTERNSHIPS

[2024] Bachelor Thesis Research in MLOps

• Comparing end-to-end machine learning pipelines in dynamic settings, where retraining triggers should be conducted in a cost- and energy-efficient manner.

UNDERGRADUATE RESEARCH PROJECTS

[2022] Semester Project

• Topic: “Linear models for Regression and Classification”
• Custom model implementations in Python.

[2021] Semester Project

• “Sparse Matrix Multiplication in Compressed Sparse Row (CSR) Format”
• Implemented in C & Assembly.

Scholarships & Awards

[2022 – 2024] German Academic Scholarship Foundation Scholar

[2020 – 2024] Max Weber Scholarship

• Awarded by the Bavarian State Ministry for Science and Arts to the best 200 graduates in Bavaria for outstanding interdisciplinary skills and interests.

[2022 – 2023] IT-Talents.de Scholarship

• Funded by MATHEMA GmbH for highly talented students in MINT fields.

[2020] German Mathematics Abitur Award

• Awarded by the German Mathematical Society for outstanding performance in the mathematics section of the Abitur exam.

[2019/20] Start-up competition by Hans-Lindner Foundation, Winning Team

• Designed a regional tech-repair-hub and laid out a business plan in exchange with industry contacts.

[2018/19] 37th BwInf (national CS competition), 2nd prize

• Solved problems with tailored algorithms in Java.

[2017/18] 19th Bavarian Mathematics State Competition (LWMB)

• 1st prize and state winner

Selected Projects

[2024] Modyn

• Open-source contributions during my Bachelor thesis research at ETH Zurich.
• Contributed to an analysis and evaluation framework that enables pipeline comparisons.
• Enhanced and integrated model retraining policies based on data drift detection and cost analysis.

[2023/2024] La Famiglia (VC) & TUM

• Lead Engineer & Principal Systems Architect (full stack)
• Orchestrated data mining platform development in a project comprising 14 student developers in 4 functional teams by composing the system’s architecture as the team lead of the “meta team.”

[2022 – 2023] TUM.AI (Munich student initiative)

• Active Member – Software Development Department
• Led DevOps, cloud, and backend development for an internal member management platform.

[2023] Business Analytics and Machine Learning Cup (top 1.5%)

• Trained a tidyverse ensemble model with XGBoost, gbm, and randomforest to solve an industry challenge of Siemens encompassing a fraud detection classification problem. Ranked in the top 4 out of 87 four-people teams.

[2022] Free parking spot detection

• Trained a convolutional neural network with Tensorflow/Keras to evaluate a business case enhancing space efficiency in densely populated urban environments.

Seminars

[March 2024] Intensive Academic English Language Course at Hilderstone College, Broadstairs, UK

• 3-week course conducted and funded by the German Academic Scholarship Foundation.

[Aug. 2019] MB-Summer-Seminar

• One-week multidisciplinary seminar for highly talented and particularly productive high school students in grade eleven from the supervisory district Lower Bavaria.

[2019] Finalist of Rhetoric-Competition of Rotary-Club Freyung-Grafenau

[2018] Mathematics state winner seminar in Riedenburg (Bavaria)

• Rewarded for 1st prize at LWMB.

Volunteering

[2024] Hack4Good (ETH Zurich) Organizer Team

• Co-organized the pro-bono Data Analytics program matching talented ETH students with non-profit organizations to foster their impact through Data Analytics.

[2024] Organization of 1st European training camp for the International Mathematical Olympiad (IMO)

• Established a partnership with TUM provisioning rooms for the 9-day event comprising five nations.

[2023] Speaker at Google Developer Student Club Munich

• Introduced application and resume writing to an audience of around 200 Munich students.

[2021 – 2022] SunRun

• Conceptualized and developed a web app and mobile application for my local sports club’s Covid-lockdown sports challenge; Supported automatic user data import from the Strava sports app with the help of a Python web crawler.
• Evolved into an on-site biannual sports event for all age groups supporting cancer charities (“SunRun 2022” and 2024).

[2018 – Present] DJK-Sonnen e.V.

• IT- and Website administration and digital media design for the sports club in my hometown.

Skills & Interests

• Programming: Python, SQL, C++, R, Java, C, JS/TS, HTML/CSS, Dart, OCAML, x86 Assembly
• Technologies: PyData Stack, PyTorch, pgSQL, lightgbm, tidyverse, Docker, GitHub Actions, OpenGL
• Cloud: Terraform, Kubernetes, AWS, Google Cloud Platform, Serverless Computing
• Languages: German (native), English (advanced), Latin (intermediate), Italian (beginner)
• Interests: Economics, Data Science, Innovation, Self-Improvement, Table Tennis, Photography