Max Zeitler

Dual Student Data Science • AI Research • Solutions Engineering

Max Zeitler (M Zeitler) is a Data Science and AI student at DHBW Stuttgart, currently working at Hewlett Packard Enterprise. His work spans LLM benchmarking, Digital Twins, RAG systems, and full-stack software engineering.

🎓 B.Sc. Business Informatics – Data Science @ DHBW Stuttgart (Top 10%)
🌍 Semester Abroad @ University College Dublin (Master's Level Data Science)
💼 Rotational dual-study program – full time internships @ Hewlett Packard Enterprise
🚀 Focus: LLMs, RAG, Digital Twins & Synthetic Data
Max Zeitler — Data Science & AI Portfolio

Experience

Hewlett Packard Enterprise (HPE)

AI Solutions - Private Cloud AI (PCAI)

Designed a Python-based LLM benchmarking framework to evaluate HPE’s inference software against competitors like Ollama. Created Grafana dashboards for real-time inference metrics and constructed a strategic feature matrix aligning customer needs with the model lifecycle.

Hewlett Packard Enterprise (HPE)

AI Excellence Center Central Europe

Research on Digital Twins and Synthetic Data (NVIDIA Cosmos). Authored a scientific paper on Video World Models (submitted to AITC26) and Deployment Guides for complex robotics workflows.

Hewlett Packard Enterprise (HPE)

Data & AI Consulting

Evaluated Data Catalog tools (Alation, Amundsen, ...) and selected OpenMetadata for a DataOps Proof of Concept. Co-implemented the solution for HPE Discover Las Vegas.

DHBW Engineering e.V. (Formula Student)

Data Engineer

Architected a scalable Big Data telemetry platform (Hadoop HDFS, Apache Hudi) for real-time vehicle analysis, enabling the engineering team to optimize car performance.

DHBW Stuttgart

University Board Member & Student Representative

Elected representative shaping university strategy and curriculum development as a member of the governing body.

Selected Projects

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