Laurynas Endriukaitis
About Laurynas Endriukaitis
Laurynas Endriukaitis is a Data Scientist currently employed at Vinted, where he has worked since 2021. He holds a Bachelor's and a Master's degree in Physics from Vilnius University and has a strong interest in deep learning and machine learning applications.
Current Role as Data Scientist
Laurynas Endriukaitis currently works as a Data Scientist at Vinted, also known as Kleiderkreisel, where he has been employed since 2021. In this role, he focuses on applying deep learning and machine learning algorithms to practical scenarios. His work contributes to enhancing data-driven decision-making processes within the company.
Previous Experience at Vinted
Laurynas Endriukaitis previously worked at Vinted as a Data Science Intern for one month in 2021. During this internship, he gained valuable experience in data science practices and contributed to ongoing projects, which laid the groundwork for his current position.
Education and Expertise
Laurynas Endriukaitis holds a Bachelor's degree in Physics from Vilniaus universitetas (Vilnius University). He furthered his education by obtaining a Master's degree in Physics from the same institution, completing his studies from 2020 to 2022. His academic background provides a strong foundation for his work in data science.
Technical Skills and Contributions
Laurynas possesses self-taught knowledge in programming languages such as Java and Python, along with expertise in machine learning algorithms. He has contributed to significant initiatives at Vinted, including the replacement of Resque with Sidekiq and the development of a sidekiq-pool gem for managing Sidekiq processes. He actively participates in backend Guild efforts within the company.
Experience at Center for Physical Sciences and Technology
Before joining Vinted, Laurynas Endriukaitis worked as a Laboratory Technician at the Center for Physical Sciences and Technology (FTMC) in Vilnius from 2019 to 2020. His role involved hands-on laboratory work, which further developed his technical skills and understanding of scientific principles.