Moe Antar
About Moe Antar
Moe Antar is a Senior Data Engineer with extensive experience in data analysis and web development. He has worked at PlushCare since 2021, where he has contributed to machine learning projects and the adoption of modern computing technologies.
Current Role at PlushCare
Moe Antar currently serves as a Senior Data Engineer at PlushCare, a position he has held since 2022. In this role, he focuses on enhancing data engineering processes and improving the efficiency of machine learning projects. His responsibilities include developing organizational best practices for creating, staging, and deploying machine learning initiatives. He has been instrumental in fostering the adoption of modern distributed computing technologies, which has significantly accelerated data science workflows within the company.
Previous Experience at PlushCare
Prior to his current position, Moe Antar worked at PlushCare as a Data Engineer III for a duration of nine months in 2022. His contributions during this time included building monitoring and data quality systems aimed at improving model performance and detecting performance degradation. His experience at PlushCare has been pivotal in shaping his expertise in data engineering and machine learning.
Experience at White Box Analytics
Moe Antar worked at White Box Analytics from 2015 to 2021, where he held the position of Programmer. His role involved data analysis and front-end web development, contributing to various projects over a six-year period in the Vancouver, Canada area. This experience provided him with a solid foundation in data engineering and analytics.
Education and Qualifications
Moe Antar has an extensive educational background. He studied at Douglas College, where he earned a Bachelor's Degree in Business Administration with a focus on Accounting from 2009 to 2015. He then attended Langara College, achieving an Associate of Science in Computer Science from 2016 to 2020, followed by a Certificate in Internet and Web Technology from 2017 to 2018. This diverse educational experience has equipped him with a strong technical and analytical skill set.
Technical Skills and Contributions
Moe Antar has made significant contributions to the field of data engineering through his expertise in modern technologies. He has designed tools and pipelines for handling free text data at scale for machine learning applications. Additionally, he has leveraged techniques such as few-shot learning, active learning, and semi-supervised learning to optimize training time and reduce data requirements for machine learning models. His efforts in crafting documentation and training programs have also enhanced team capabilities and empowered new members.