Matej Hočevar
About Matej Hočevar
Matej Hočevar is a Lead Software Engineer specializing in complex UI/UX solutions with an emphasis on security and reusability. He actively engages in machine learning research and has a diverse background in software engineering across various companies.
Current Role at tretton37
Matej Hočevar currently holds the position of Lead Software Engineer at tretton37, a role he has occupied since 2023 in Ljubljana, Slovenia. In this capacity, he specializes in designing complex UI/UX solutions, emphasizing security, clarity, and reusability. His experience at tretton37 includes serving as a Senior Software Engineer from 2021 to 2023, where he contributed to various projects and initiatives.
Professional Experience
Matej Hočevar has a diverse professional background in software engineering. He previously worked at Elly as Lead Engineer and Senior Software Engineer from 2019 to 2021. His experience also includes a tenure at Spartan Solutions d.o.o. as a Software Engineer in 2018 and at HYCU, Inc. from 2013 to 2018. Additionally, he worked as a part-time Graphic Designer at Podravka from 2009 to 2011.
Education and Expertise
Matej Hočevar studied at the University of Ljubljana, where he earned a Bachelor of Science in Computer Science from 2011 to 2016. He also attended ERSŠG Vegova from 2007 to 2011. His technical expertise encompasses a wide range of programming languages and frameworks, including Dart, Flutter, Typescript, Angular, React, Django, Python, Flask, PostgreSQL, NodeJS, Swift, and more.
Research and Interests
In his spare time, Matej Hočevar engages in research on machine learning algorithms. He has shared insights on the challenges and opportunities presented by AI in software engineering and advocates for the ethical use of AI, particularly concerning data privacy. He has participated in discussions regarding the integration of AI and ChatGPT into software development.
Contributions to AI Discussions
Matej Hočevar has been involved in panel discussions focusing on AI's role in software development and education. He envisions a future where AI and human intelligence complement each other, discussing both the enabling aspects of AI and its potential drawbacks in educational contexts.