Jacob Umflat
About Jacob Umflat
Jacob Umflat is a Machine Learning Engineer at Anaplan, where he has worked since 2022. He has a diverse background in data science and engineering, with previous roles at ELTA, Pipl, and Freescale Semiconductor, and holds multiple degrees from Ben-Gurion University.
Work at Anaplan
Jacob Umflat has been employed at Anaplan as a Machine Learning Engineer since 2022. In this role, he is responsible for refactoring and rebuilding a legacy lead-based system. He focuses on building systems in a testable manner, incorporating unit, integration, and component testing. Additionally, he designs and implements custom artifact sustainable storage solutions and develops algorithm-based needs monitoring systems to enhance platform integration and team collaboration.
Previous Experience
Prior to his current position, Jacob Umflat worked at Anaplan as a Data Scientist from 2019 to 2022. He also has experience as a DSP Engineer at ELTA from 2006 to 2008 and as a Signal Processing Algorithm Engineer at ELTA from 2010 to 2012. His tenure at Pipl, Inc. as a Data Scientist lasted from 2015 to 2019. Additionally, he served as a Teaching Assistant at Ben Gurion University from 2008 to 2010 and worked as a student at Freescale Semiconductor from 2005 to 2006.
Education and Expertise
Jacob Umflat studied at Ben Gurion University of the Negev, where he earned a Bachelor of Science in Electrical Engineering from 2002 to 2007. He continued his education at the same institution, achieving a Master of Science in Electrical Engineering from 2008 to 2012. He also completed an MBA program at Ben Gurion University, receiving an Honorable MBA from 2011 to 2012. His expertise includes debugging and using Airflow for machine learning projects.
Technical Skills
In his role as a Machine Learning Engineer, Jacob Umflat demonstrates proficiency in various technical skills. He is adept at refactoring legacy systems and building testable systems. His work involves incorporating unit, integration, and component testing. He also specializes in designing custom artifact sustainable storage solutions and developing algorithm-based needs monitoring systems, which enhance platform integration and team collaboration.