Summary
Samuel Pecar is an IS Security Architect based in Bratislava with a decade of experience bridging applied machine learning, NLP research and production-grade software engineering. He has led technical delivery and architecture for ML/AI products at PwC—spanning document processing, Azure OpenAI-backed QA, RAG, cloud migrations and healthcare AI strategy—while earlier academic work focused on opinion mining, Slovak-language NLP and hate-speech detection. Comfortable toggling between roles as technical lead, solution architect and product owner, he combines Python/Node.js stacks with cloud platforms and messaging systems to take prototypes into production. Currently bringing that ML-to-security perspective to Tatra banka, he pairs rigorous PhD-level research instincts with practical delivery experience across enterprise and research settings. A less obvious strength is his track record of translating NLP research on non-English languages into tangible document-automation and fraud-detection solutions.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Inteligent information systems, Doctor of Philosophy - PhD Inteligent information systems at Faculty of Informatics and Information Technologies, Slovak University of Technology
Doctor of Philosophy - PhD Informatics, Doctor of Philosophy - PhD Informatics at Technical University of Košice
Slovenian, Czech, English