Summary
Walter Ehrenberger is a researcher and AI-focused software engineer with 8 years of experience building end-to-end data and ML systems that run in production. He combines deep data engineering—having processed 500,000+ publications and mapped over €23 billion in research funding—with practical product delivery, from VSCode extensions to full-stack visualizations and payment integrations. His background spans industry roles at Salesforce and SMEs, giving him strong software engineering discipline (TDD, CI/CD) alongside research evaluation expertise in the cultural heritage domain. As a freelancer he quickly prototypes and ships robust AI solutions, including reinforcement learning agents and scalable pipelines, bridging experimental models and operational systems. Based in Jena, Germany, he pairs academic rigor (MSc in CS with AI specialization) with a knack for turning complex research datasets into actionable insights for policymakers and funders.
8 years of coding experience
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Hochschule Hof, University of Applied Sciences
Master of Science - MS, Computer Science with a specialization in AI, Master of Science - MS, Computer Science with a specialization in AI at Friedrich-Schiller-Universität Jena