Alexey Khuraskin

Alexey Khuraskin has a strong background in machine learning engineering and quantitative development. Alexey started their career in 2007 as a Software Engineer at jNetX and MosOtis before transitioning to roles in quantitative research and data science. Alexey worked as a Quantitative Researcher at WorldQuant LLC from 2011 to 2014 and then as a Senior Data Scientist at Rambler&Co from 2014 to 2015. Alexey later held the position of Senior Data Scientist at Integral Ad Science from 2015 to 2017. Alexey then joined Teza Technologies as a Quantitative Developer, where they worked from 2017 to 2021. In 2021, they took on the role of Senior Machine Learning Engineer at Lyft, focusing on autonomous vehicles. Currently, they are a Senior Machine Learning Engineer at Woven by Toyota.

Alexey Khuraskin completed their Master's degree in Mathematics at Lomonosov Moscow State University (MSU) from 2003 to 2008. Alexey then pursued a Master of Arts (MA) in Economics at New Economic School from 2009 to 2011. Additionally, Alexey passed Level I of the CFA Program, although the specific years of this achievement are not provided.