Ole Behre

M.Sc. Data Science Student | University of Mannheim

Education

M.Sc. Data Science 2025 – 2027 (Expected)

University of Mannheim

Focus: Machine Learning, Data Integration, Deep Learning, Large Scale Data Management, Applications of AI in Industry.

B.Sc. Information Systems (Wirtschaftsinformatik) 2021 – 2025

University of Mannheim | Grade: 1.6

Thesis: "Multilingual, Adversarial Math Word Problems: Testing the Robustness of Large Language Models" (Grade: 1.0).
Relevant Coursework: IT-Security, Artificial Intelligence, Data-Driven Analysis.

Working Student, Software Engineering (Algo Trading) Jul 2025 – Present

FORRS | Frankfurt am Main

Engineered execution infrastructure and algorithmic trading solutions tailored for short-term power markets, focusing on system reliability and efficient data handling.
Architected a cloud-based data management system to ingest, normalize, and process high-volume, diverse time-series datasets for the energy sector.
Built robust ETL pipelines and REST APIs to seamlessly integrate and process external market data feeds.

Research Assistant (DWS Group) Jul 2025 – Oct 2025

University of Mannheim | Chair for Data & Web Science

Orchestrated LLM benchmarking suites on Linux-based HPC clusters, utilizing Slurm for optimized compute resource scheduling.
Built custom, high-throughput inference pipelines using vLLM to extract and analyze redundancy patterns in the reasoning traces of frontier models (e.g., Deepseek-R1).
Conducted quantitative evaluations of inference-time interventions, analyzing the stability and brittleness of Chain-of-Thought (CoT) prompting.

Working Student, Software Engineering (Backend) Sep 2023 – Jan 2025

FORRS | Frankfurt am Main

Developed backend services for a cloud market data system utilized in energy trading.
Optimized REST API endpoints using Java and Quarkus to improve data retrieval performance and system efficiency.

Working Student, Consulting & Industry Analysis Mar 2022 – Jan 2025

FORRS | Frankfurt am Main

Conducted data analysis and market research across the energy trading value chain to support consulting projects.
Produced and organized a targeted podcast series exploring the technical and business intersection of Data Science and the energy industry.

Member Mar 2023 – Present

STADS e.V. (Student Association for Data Analytics)

Programming	Python, Java, SQL (PostgreSQL), HTML/CSS
Data & ML	pandas, numpy, sklearn, transformers, vllm, lm-eval, matplotlib
Backend/Web	Quarkus, Vaadin, REST APIs
DevOps & Tools	Docker, Git (GitLab), Linux, Slurm, Jira, Confluence
Languages	German (Native), English (TOEFL 117/120 \| C2)

Bikepacking, Bouldering & Climbing, Casual Running, Specialty Coffee, Video Games.

[ 01: Grid Control ]

A grid balancing and dispatch mini-game. Manage variable renewables, industrial storage, and carbon guilt.

-> Enter Dispatch Center

                  
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