Evgenii T.

Machine Learning Engineer @ Rokt

About Evgenii T.

Evgenii T. is a Machine Learning Engineer based in Sydney, Australia, with a diverse background in engineering and technology. He has worked for several companies, including Rokt and WooliesX, and holds multiple degrees in engineering and computer science.

Work at Rokt

Evgenii T. currently serves as a Machine Learning Engineer at Rokt, a role he has held since 2023. His responsibilities include developing a latency-sensitive feature store, which is crucial for enhancing the performance of machine learning applications. His experience at Rokt builds on his extensive background in machine learning and systems engineering.

Previous Experience in Machine Learning

Evgenii T. has held multiple positions as a Machine Learning Engineer prior to his current role at Rokt. He worked at WooliesX from 2021 to 2023, and at Tiliter for 4 months in 2021. Additionally, he was employed at SingleView for 7 months in 2020. His work has involved building in-house machine learning infrastructure and projects focused on latency-sensitive systems.

Career in Events Coordination

Before transitioning to machine learning, Evgenii T. worked as an Events and Conference Coordinator at StartCon.com from 2018 to 2019. This role involved organizing events and managing logistics, contributing to his diverse skill set.

Education and Expertise

Evgenii T. holds a Bachelor's degree in Electrical and Electronics Engineering from Ural State Technical University, which he completed from 2012 to 2016. He further advanced his education by obtaining two Master's degrees: one in Aerospace, Aeronautical and Astronautical/Space Engineering from UNSW from 2017 to 2019, and another in Computer, Communication and Information Sciences - Computer Science from Aalto University in 2016.

Experience as a System Analyst

Evgenii T. worked as a System Analyst at APRA AMCOS from 2019 to 2020. In this role, he focused on analyzing and optimizing systems, which complemented his technical background in machine learning and engineering.

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