Gideon Potok
About Gideon Potok
Gideon Potok is a Senior Data Engineer at dv01, where he has worked since 2021. He has a background in software engineering with experience at Morgan Stanley and IBM, and holds degrees in Computer Science and Economics from the University of Maryland.
Work at dv01
Gideon Potok has been employed at dv01 as a Senior Data Engineer since 2021. In this role, he developed a proprietary tool that improved regression testing and facilitated the migration of client data ingestion pipelines. He implemented monitoring and telemetry tools to enhance the performance of data pipelines, contributing to operational efficiency. Potok also collaborated with AI Engineers and Product teams, resulting in a 10% increase in the availability of research-driven industry reports. His leadership as an AI Ambassador focused on integrating advanced AI methodologies into strategic planning for scalable MLOps.
Previous Experience
Prior to his current position, Gideon Potok worked at Morgan Stanley as a Software Engineer from 2019 to 2021 in the Greater New York City Area. He also held a Software Engineer position at IBM from 2017 to 2018, also in the Greater New York City Area. Earlier in his career, he served as a Teaching Assistant at the University of Maryland, College Park for three months in 2016 and completed a six-month internship at Fraunhofer USA CESE in the same year.
Education and Expertise
Gideon Potok earned a Bachelor of Science in Computer Science and a Bachelor of Arts in Economics from the University of Maryland. He holds a Google Cloud Professional Data Engineer certification and is currently pursuing a Google Cloud Certified Professional Machine Learning Engineer certification. His educational background and certifications reflect his expertise in data engineering and machine learning.
Technical Contributions
Potok has contributed to Apache Spark, demonstrating his proficiency in big data processing frameworks. He successfully reduced data processing times from 36-48 hours to 2-3 hours while maintaining cloud costs, which significantly improved market viability. His work in developing tools and optimizing processes has positively impacted the efficiency of data operations.