Summary
Muja Kayadan is a machine learning engineer based in San Francisco with several years of experience delivering AI solutions across industrial and research settings. He specializes in computer vision, object detection, and deploying large language models, with a focus on building robust, scalable systems using Python, C++, and OpenCV. His work spans automotive R&D for brake systems, software engineering for radio astronomy projects, and applied ML in diverse domains, reflecting a versatile, cross-disciplinary background. Muja holds multiple master’s degrees in computer science and electrical/electronic engineering, complemented by a master’s degree in ICT for Internet and Multimedia, underscoring a strong theoretical foundation and a hands-on engineering mindset. He is an AI/CV enthusiast who combines research-driven techniques with practical deployment expertise to improve performance and efficiency. Based in the Bay Area, he is poised to contribute to teams that turn complex visual data and language models into reliable, production-ready solutions.
9 years of coding experience
2 years of employment as a software developer
Master's degree, ICT for Internet and Multimedia, Master's degree, ICT for Internet and Multimedia at Università degli Studi di Padova
Bachelor's degree, Information Technology, 3.67/4.00, Bachelor's degree, Information Technology, 3.67/4.00 at Ventspils Augstskola
Master's degree, Electrical and Electronics Engineering, 3.79/4.00, Master's degree, Electrical and Electronics Engineering, 3.79/4.00 at Aksaray University
Master's degree, Computer Science, Master's degree, Computer Science at Maharishi International University
English, Turkish, Italian, German, Romanian