Alfred Feldmeyer is a Lead AI Engineer based in Rosenheim with over a decade of professional experience building cloud-native systems, DevOps automation, and AI-for-software-engineering tooling. He has led high-throughput log aggregation and order services for major enterprises like BMW and DB using Kafka, ElasticSearch, Kubernetes/OpenShift and a polyglot stack (Java, Python, Go, TypeScript). His research and hands-on work at Siemens and Fraunhofer bridged applied AI and software engineering—evaluating LLMs for code generation, analysing code graphs with graph neural networks, and creating an automated program repair runners platform on AWS and Pulumi. Comfortable across infrastructure and application layers, he combines strong automation and observability skills (Prometheus/Grafana) with practical frontend/backend experience (Angular, TypeScript, Java). He holds an M.Sc. in Computer Science with top grades and brings the perspective of someone who moved from energy-electronics apprenticeship into research-driven engineering. Pragmatic, research-informed, and delivery-focused, he excels at turning experimental AI ideas into production-ready developer tooling.
11 years of coding experience
2 years of employment as a software developer
Master of Science (M.Sc.), Informatik, 1,1, Master of Science (M.Sc.), Informatik, 1,1 at Hochschule Rosenheim
Ausbildung, Energieelektroniker für Anlagentechnik, Ausbildung, Energieelektroniker für Anlagentechnik at Staatl. Berufsschule München-Land München
Contributions:3 pushes, 1 branch in 4 years 7 months
golanghostdockergo-playgroundplayground
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