Summary
Matyas Skalicky is a Senior AI Platform Engineer based in Prague with 8 years of experience building production-grade ML systems and scaling self-hosted LLMs. At Rossum he designs Kubernetes-based inference and training infrastructure, drives distributed AI deployment, and leads product discovery efforts across anomaly detection, AP automation and dynamic discounting. His background spans hands-on research—creating the DocILE/KILE benchmark and few-shot extraction methods—to operationalizing automated feedback loops with Kubeflow and Django. Matyas has also shaped R&D strategy and OKR implementation as Chief of Staff, blending technical depth with cross-org facilitation. Fluent in turning research prototypes into scalable services, he’s as comfortable improving model performance in the cloud as teaching Machine Learning Essentials to undergraduates.
8 years of coding experience
4 years of employment as a software developer
Gymnázium Ústí nad Orlicí
Inženýr (Ing.), Machine Learning, Inženýr (Ing.), Machine Learning at České vysoké učení technické v Praze
Master's degree, Data Science, Master's degree, Data Science at Instituto Superior Técnico
English, Spanish, German, Czech