Jamey Smith
About Jamey Smith
Jamey Smith is a Senior Machine Learning and MLOps Engineer at Regrow Ag with extensive experience in data science, machine learning, and geospatial data analysis.
Company
Jamey Smith currently holds a position at Regrow Ag as a Senior Machine Learning and MLOps Engineer. Smith has been with Regrow Ag since 2021. Regrow Ag focuses on agricultural technology, using advanced machine learning algorithms to optimize crop production and sustainability.
Title
Jamey Smith is a Senior Machine Learning and MLOps Engineer. In this role, Smith develops MLOps platforms that facilitate the deployment of deep learning models on earth observation data at a continental scale. Smith focuses on creating user-friendly and traceable platforms for data ETL, model training, and evaluation.
Education and Expertise
Jamey Smith holds a Master of Science (M.Sc.) degree in International Agricultural Development from the University of California, Davis, which was earned between 2015 and 2018. Smith also holds a Bachelor of Arts (BA) in Biology and Environmental Studies from Connecticut College, completed from 2005 to 2009. Smith specializes in containerizing repeatable workflows and building CI/CD pipelines to enhance code quality, with extensive experience in analyzing earth observation and geospatial data using machine learning and deep learning techniques.
Previous Experience
Before joining Regrow Ag, Jamey Smith worked at Ramboll as a Data Scientist for 2 years from 2019 to 2021 in Arlington, VA. Smith also held positions at Fraym and Development Seed as a Data Scientist and Earth Data Fellow, respectively, both located in the Washington D.C. Metro Area. Prior to these roles, Smith was a Graduate Student Researcher at the University of California, Davis - Biogeography Lab and the Horticulture Innovation Lab from 2016 to 2018. Smith also led Birch River LLC as an Owner in the Greater Seattle Area from 2014 to 2017, and managed content at Elsevier - Biofuel TechSelect as a Content Manager (contract) from 2011 to 2012. Previous early career roles include positions at Inventure Renewables, Inc., Verno Systems, Inc., and the Hawaii Agricultural Research Center (HARC).
Technical Skills and Contributions
In the technical realm, Jamey Smith is skilled in developing MLOps platforms for deploying deep learning models. Smith's platform work emphasizes user-friendliness, traceability, and efficiency in data ETL, model training, and evaluation processes. Smith has significant experience in training data science team members on cloud technologies, stressing scalable and efficient workflows. Moreover, Smith specializes in creating containerized workflows and CI/CD pipelines to ensure high code quality and operational excellence.