łukasz Haratym
About łukasz Haratym
Łukasz Haratym is a Staff Software Engineer specializing in Machine Learning at Quantcast, where he has worked since 2023. He has extensive experience in software engineering, having held various positions at Quantcast and other companies across Europe.
Current Role at Quantcast
łukasz Haratym serves as a Staff Software Engineer specializing in Machine Learning at Quantcast. He has been in this position since 2023, working in the San Francisco Bay Area. In this role, he focuses on developing and implementing machine learning algorithms to enhance Quantcast's data-driven advertising solutions.
Previous Experience at Quantcast
Prior to his current role, łukasz Haratym worked at Quantcast in various capacities. He held the position of Senior Software Engineer in Machine Learning from 2015 to 2020 in London, United Kingdom. He then progressed to Staff Software Engineer in Machine Learning from 2020 to 2023, continuing to contribute to machine learning initiatives during his tenure.
Early Career Background
łukasz Haratym began his career in the technology sector with several roles in Poland. He worked as a Software Developer Intern at Sabre Holdings in 2009 and progressed to Junior Developer/Analyst at the same company in 2010. He also held positions as a Software Engineer at eCircle from 2011 to 2012 and as a Software Developer/Analyst at Sabre Inc. from 2012 to 2013.
Education and Academic Qualifications
łukasz Haratym holds two Master's degrees in Computer Science. He studied at Politechnika Krakowska im. Tadeusza Kościuszki from 2006 to 2012, completing his degree over six years. He furthered his education at Kitami Institute of Technology, where he studied for one year from 2010 to 2011, achieving another Master's degree.
Experience in Software Development
Throughout his career, łukasz Haratym has accumulated extensive experience in software development. He worked as a Senior Development Engineer at blinkbox music from 2013 to 2015 in Oxford, England. His roles have consistently involved software engineering and machine learning, showcasing his expertise in these fields.