Tihomir Jovičić
About Tihomir Jovičić
Tihomir Jovičić is a Senior Software Engineer with a strong background in computer science, holding both a Bachelor's and Master's degree from the University of Zagreb. He has experience in optimizing distributed systems, integrating AI/ML features, and specializes in data extraction and sentiment analysis at Nylas.
Work at Nylas
Tihomir Jovičić has been employed at Nylas as a Senior Software Engineer since 2020. In this role, he specializes in data extraction and sentiment analysis, contributing to the development of software solutions that enhance user productivity. His work involves optimizing large-scale distributed systems, showcasing his technical expertise and commitment to improving software performance.
Previous Experience
Before joining Nylas, Tihomir Jovičić worked at several organizations. He served as a Software Engineer at CROZ from 2016 to 2018, where he developed software solutions in Croatia. Following this, he worked at ReversingLabs for nine months in 2019. He also gained experience as a Freelance Backend Engineer at Toptal from 2019 to 2021, working remotely on various projects.
Education and Expertise
Tihomir Jovičić studied at the Faculty of Electrical Engineering and Computing at the University of Zagreb. He earned his Bachelor's Degree in Computer Science from 2011 to 2014 and subsequently completed his Master's Degree from 2014 to 2016. His education has provided him with a strong foundation in software engineering principles and practices.
Technical Skills
Tihomir Jovičić possesses expertise in optimizing large-scale distributed systems and automating routine tasks to enhance efficiency. He is proficient in rapidly learning new software development languages, which enables him to adapt to various project requirements and technologies. His skills are particularly focused on integrating AI/ML features to improve software capabilities.
Contributions to AI/ML Integration
As part of his professional contributions, Tihomir Jovičić has been involved in integrating AI/ML features into June.ai. This initiative aims to enhance user productivity by leveraging advanced technologies to streamline processes and improve overall software functionality.