Karel Vaculík is a Principal Data Scientist at Oracle with nine years of experience applying research-grade rigor to production AI systems, specializing in LLM evaluation and agentic workflows. He designs scalable, secure evaluation frameworks and LLM-as-a-judge methodologies that optimize for fidelity, cost, and latency while operating across OCI and hybrid infrastructures. With a PhD in pattern mining and deep roots in NLP, he blends academic methods with Python- and Java-based engineering to ship enterprise-ready services and automated CI/CD deployments. He also serves as a Scrum Master and mentor, fostering high-performing agile teams that bridge experimental research and operational reliability. Outside work he stays hands-on exploring modern application frameworks through personal coding projects, reflecting a continual curiosity beyond his enterprise role.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Informatics, Doctor of Philosophy - PhD, Informatics at Masaryk University Brno
RNDr., Artificial Intelligence and Natural Language Processing, RNDr., Artificial Intelligence and Natural Language Processing at Masaryk University Brno, Faculty of Informatics
Bachelor's degree, Automation and Measurement, Bachelor's degree, Automation and Measurement at Brno University of Technology, Faculty of Electrical Engineering and Communication
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