Evan Sadler

Evan Sadler

Software Engineer @ Pomelo

About Evan Sadler

Evan Sadler is a Software Engineer currently working at Pomelo Care in New York City. He has a diverse background in data science and machine learning, with previous roles at Warner Bros. Discovery and Civis Analytics.

Work at Pomelo Care

Evan Sadler is currently employed as a Software Engineer at Pomelo Care, a position he has held since 2024. He works in New York, New York, United States, contributing to the company's software development initiatives. His role involves leveraging his technical expertise to enhance the company's software solutions.

Education and Expertise

Evan Sadler has a strong educational background, having studied Mathematics and Economics at the University of Washington, where he earned two Bachelor of Science (B.S.) degrees from 2011 to 2014. He also attended Bellevue College for one year in 2010 to 2011. Additionally, he studied Clarinet Performance at Florida State University for one year in 2009 to 2010. This diverse academic foundation supports his work in data science and machine learning.

Professional Background

Evan Sadler has a diverse professional background, with experience in various roles related to data science and machine learning engineering. He worked at Warner Bros. Discovery as a Senior Machine Learning Engineer and Senior Data Scientist in 2022 and 2023. His previous positions include Data Analyst at Socrata, Data Scientist at Civis Analytics, and Head of Engineering at Hearth AI. He also served as a Founding Engineer at Blue Rose Research, where he played a key role in establishing the engineering team.

Achievements in Machine Learning

Evan Sadler has contributed to significant projects in the field of machine learning. At Civis Analytics, he worked on integrating machine learning models into production environments. His efforts at Warner Bros. Discovery focused on developing AI/ML solutions that enhanced media content personalization. His experience spans various roles, showcasing his ability to apply machine learning techniques across different industries.

Skills and Contributions

Evan Sadler possesses a unique combination of skills in mathematics, economics, and clarinet performance. This diverse skill set informs his approach to problem-solving in AI and machine learning. His contributions to various organizations reflect his ability to work effectively in both data science and engineering roles, enhancing the capabilities of the teams he has been part of.

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