Gediminas žylius
About Gediminas žylius
Gediminas Žylius is a Manager of Data Science & Analytics at Vinted, with a robust background in developing recommender and ranking systems. He has held various roles in data science and machine learning across multiple companies, including HomeToGo and Ortho Baltic, and has a strong academic foundation in engineering from Kaunas University of Technology.
Current Role at Vinted
Gediminas Žylius currently serves as the Manager of Data Science & Analytics at Vinted, a position he has held since 2021. In this role, he manages two teams that focus on ranking and recommendations for item visibility, comprising analysts, data scientists, and machine learning engineers. His leadership is integral to the development of data-driven strategies that enhance user experience on the platform.
Previous Experience at HomeToGo
Gediminas worked at HomeToGo in various capacities from 2016 to 2020. He started as a Data Scientist from 2016 to 2018, then progressed to Senior Data Scientist & Team Lead from 2018 to 2020, and briefly served as Principal Data Scientist & Team Lead for five months in 2020. His work involved developing data solutions that contributed to the company's growth in the travel industry.
Educational Background
Gediminas holds a Bachelor's degree in Electrical and Electronics Engineering with a specialization in Process Control from Kaunas University of Technology, which he completed from 2009 to 2013. He further pursued a Master's degree in Control Systems, specializing in Intelligent Control Systems, achieving this with honors from 2013 to 2015. Additionally, he was a PhD student at the same institution from 2015 to 2020.
Contributions to Vinted
At Vinted, Gediminas has been involved in several key initiatives. He contributed to the backend Guild and played a significant role in replacing Resque with Sidekiq, which improved the efficiency of background job processing. He also helped implement queue latency metrics for background jobs and participated in creating a transition plan to Sidekiq, showcasing his commitment to enhancing operational performance.
Professional Expertise in Machine Learning
Gediminas possesses extensive experience in the internet industry, particularly in machine learning engineering. His professional background includes developing recommender and ranking systems, which are crucial for enhancing user engagement and satisfaction in digital platforms. His expertise is further supported by his roles in various organizations, where he has applied machine learning techniques to solve complex problems.