Martin Matak is a postdoctoral researcher in computer science at the University of Utah with a decade of experience spanning research, software engineering, and applied machine learning. His work bridges robotics and ML — notably demonstrating teacher-student distillation for dexterous grasping in real-world robotic systems during an NVIDIA research internship. He brings practical enterprise development experience from Deloitte and CROZ, building Java/Spring web apps and NLP-driven query systems while also contributing to data engineering and ML algorithm implementation. Educated at FER, TU Wien, and currently completing a PhD at Utah, he combines strong academic training with production-oriented software practices such as test automation, cloud deployment, and agile teamwork. Comfortable working in multilingual and international teams, he blends experimental research rigor with hands-on systems engineering to move ideas from prototypes to deployable systems.
10 years of coding experience
1 year of employment as a software developer
Vienna University of Technology
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at FER
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