Danijel Temraz
About Danijel Temraz
Danijel Temraz is a Principal Machine Learning Engineer at Infobip in Zagreb, Croatia, with extensive experience in software engineering and AI project management.
Company
Danijel Temraz is currently working at Infobip, a global leader in omnichannel communication solutions. He is based in Zagreb, Croatia, where he holds the title of Principal Machine Learning Engineer. Infobip specializes in providing businesses with tools to improve customer experiences through efficient and secure communication channels.
Title
Danijel Temraz holds the position of Principal Machine Learning Engineer at Infobip. His role involves applying advanced machine learning techniques to develop innovative solutions that enhance Infobip's product offerings.
Education and Expertise
Danijel Temraz earned his Master's degree in Computer Systems Networking and Telecommunications from the Faculty of Electrical Engineering and Computing. Additionally, he has completed several MOOCs (Massive Open Online Courses) from Princeton University, focusing on Algorithms Part 1 and Algorithms Part 2. This diverse educational background has equipped him with a strong foundation in both theoretical and practical aspects of computer science and machine learning.
Background
Danijel Temraz has cultivated a rich career in software engineering and machine learning. He began his professional journey as an Intern at Siemens Convergence Creators in Croatia from 2013 to 2014. He then transitioned to the role of Junior Software Engineer at the same company, where he worked until 2016. In 2016, he joined Infobip, initially as a Software Engineer. Over the next few years, he ascended through various positions, including Senior Software Engineer and Research and Development Team Lead. By 2021, he had achieved the role of Principal Machine Learning Engineer due to his dedication and expertise.
Achievements
Throughout his career at Infobip, Danijel Temraz has been pivotal in leading several key initiatives. He led the development of two products that enable customers to build chatbots from their data or website effortlessly. He has also implemented image generation using Stable Diffusion for branding and marketing purposes. Additionally, he has developed an active learning project aimed at minimizing the retraining time for chatbots with production data. Under his guidance, he has established company-wide workflows and processes for AI projects and conducts business and technical due diligence for these initiatives.