Toni Kukurin
About Toni Kukurin
Toni Kukurin is a Deep Learning Engineer at QuantCo, with a background in software engineering and research from companies like Bloomberg LP, Google, and Microsoft.
Current Role at QuantCo
Toni Kukurin currently works as a Deep Learning Engineer at QuantCo, stationed remotely from Zurich. In his role, he is a founding member of the company's deep learning organization. He is actively involved in directing the hiring processes and finding new use cases for deep learning. Additionally, he develops proof of concepts (POCs) for deep learning applications, contributing to QuantCo's technological advancements and strategic initiatives.
Previous Experience at Bloomberg LP
From 2021 to 2022, Toni Kukurin served as a Senior Research Engineer at Bloomberg LP, working remotely. During his tenure of one year, he contributed to research and engineering projects, applying his expertise in deep learning and software development to further Bloomberg's analytical and technological capacities.
Internships at Leading Tech Companies
Toni Kukurin has completed several high-profile internships at leading tech companies. He worked with Google as a Software Engineering Intern in Zurich, Switzerland, for three months in 2019 and in London, United Kingdom, for six months from 2017 to 2018. He also interned at Microsoft as an Applied Scientist Intern for two months in 2019 and as a Software Engineering Intern for three months in 2018, both in the Greater Seattle Area. Additionally, he gained experience as a Research Intern at TakeLab FER in Zagreb for five months from 2018 to 2019 and held a Software Engineering Internship at Infobip in Zagreb for three months in 2016.
Educational Background
Toni Kukurin holds a Master's degree in Computer Science from the Faculty of Electrical Engineering and Computing at the University of Zagreb, completed from 2017 to 2020. He also earned a Bachelor's degree in Computer Science from the same institution, from 2014 to 2017. Furthermore, he studied iOS programming at the Infinum Academy, earning a Certificate in 2016 after an 11-month program. This strong educational foundation supports his proficient understanding and application of deep learning and software engineering principles.