Daniel Segeš is a Senior Software Engineer based in Slovakia with 10+ years of hands-on experience building desktop and web applications across Linux, Windows, and macOS. He spent nearly two decades at Action.net developing cross-platform plugins and ENIGMA2 web and mobile apps before joining GlobalLogic, bringing deep practical knowledge of embedded and consumer-facing systems. Trained in finance with an MSc in Finance and Banking and holding a postgraduate diploma in Machine Learning and AI from Columbia Engineering, he blends quantitative insight with modern ML-aware engineering. A former graphic designer, he pairs strong UI sensibilities with robust backend skills, making him effective at bridging design and implementation.
10 years of coding experience
19 years of employment as a software developer
Master of Science (MSc), Finance and Banking, Master of Science (MSc), Finance and Banking at Ekonomická univerzita v Bratislave
Gymnázium Topoľčany
Postgraduate Diploma, Machine Learning and Artificial Intelligence, Postgraduate Diploma in Machine Learning and Artificial Intelligence, Postgraduate Diploma, Machine Learning and Artificial Intelligence, Postgraduate Diploma in Machine Learning and Artificial Intelligence at Columbia Engineering
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