Stephane F.
About Stephane F.
Stephane F. is a Lead Machine Learning Engineer currently working at Webflow in the San Francisco Bay Area. He has a diverse background in machine learning and data science, with previous roles at companies such as Square, Medium.com, and Ubisoft.
Current Role at Webflow
Stephane F. serves as the Lead Machine Learning Engineer at Webflow, a position he has held since 2022. He is based in the San Francisco Bay Area and has been instrumental in developing machine learning solutions that enhance Webflow's platform capabilities. His expertise in machine learning allows him to contribute significantly to the company's technological advancements.
Previous Experience at PointCard™
Prior to his current role, Stephane worked at PointCard™ as a Staff Machine Learning Engineer for a duration of five months in 2022. His tenure at PointCard™ was also in the San Francisco Bay Area, where he applied his machine learning skills to various projects.
Experience at Square
Stephane F. has extensive experience at Square, where he worked for a total of five years in various capacities. He served as a Senior Machine Learning Engineer from 2017 to 2021 and later as a Staff Machine Learning Engineer from 2021 to 2022. His roles involved developing and implementing machine learning models to improve Square's services.
Educational Background
Stephane holds a Bachelor of Science (B.Sc.) in Physics and Industrial Engineering from Lycée Du Parc, which he completed from 2007 to 2010. He furthered his education at Ecole Nationale Supérieure des Mines de Nancy, earning another Bachelor of Science (B.Sc.) in Applied Mathematics & Industrial Engineering from 2010 to 2013. Additionally, he obtained a Master of Arts (MA) in Mathematics of Finance from Columbia University in 2013.
Career in Data Science
Stephane has a diverse background in data science, having worked at Medium.com as a Data Scientist from 2016 to 2017 and at Ubisoft in the same role from 2015 to 2016. He also gained experience as a Data Analyst in Marketing Sciences at Ipsos Marketing Analytics from 2013 to 2015. These roles contributed to his comprehensive understanding of data analysis and machine learning applications.