Robin Holzinger

Data Scientist

https://talent.gravityer.com/robin-holzinger

ML systems & data engineering | UC Berkeley EECS '26 | ex-QuantCo | SIGMOD '25 co-author | Studienstiftung, DAAD and MWP Scholar

StralaAI

Key Strengths

Experience in Data Scientist roles across multiple organizations (tum-ai, mlberkeley, StralaAI).
Exposure to a variety of technologies relevant to data science and MLOps, including Python, C++, Cuda, Jupyter Notebook, Dockerfile, and Shell scripting.
Involvement in a research platform for training ML models on growing datasets (modyn project), indicating practical ML development experience.
Familiarity with infrastructure-as-code (HCL) and build automation (Makefile) through personal projects, which is valuable for MLOps.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate initiative and a strong interest in machine learning and data science, aligning with a research-oriented or innovative culture. The diversity of projects, from core ML development (modyn) to infrastructure (sp26-gke-coding/research), suggests adaptability and a broad technical curiosity. However, without more detailed project descriptions or team involvement, it's difficult to fully assess cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Experience

tum-ai

Data Scientist

June 22, 2026 – Present

mlberkeley

Data Scientist

June 22, 2026 – Present

StralaAI

Data Scientist

June 22, 2026 – Present

Projects

sp26-gke-coding

March 7, 2026 – Present

sp26-gke-coding — GitHub repository

View Project

sp26-gke-research

March 7, 2026 – Present

sp26-gke-research — GitHub repository

View Project

sp26-gke-social-media

March 7, 2026 – Present

sp26-gke-social-media — GitHub repository

View Project

modyn

October 11, 2022 – May 20, 2025

Modyn is a research-platform for training ML models on growing datasets.

View Project

robinholzi

August 21, 2022 – Present

Robin Holzinger - QuantCo | CS @ TUM & ETH | Studienstiftung | MWP

View Project

Key Strengths

Experience in Data Scientist roles across multiple organizations (tum-ai, mlberkeley, StralaAI).
Exposure to a variety of technologies relevant to data science and MLOps, including Python, C++, Cuda, Jupyter Notebook, Dockerfile, and Shell scripting.
Involvement in a research platform for training ML models on growing datasets (modyn project), indicating practical ML development experience.
Familiarity with infrastructure-as-code (HCL) and build automation (Makefile) through personal projects, which is valuable for MLOps.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Robin Holzinger

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit