Adam Lineberry
About Adam Lineberry
Adam Lineberry is a Senior Machine Learning Engineer and ML Tech Lead at Kensho Technologies, where he has worked since 2022. He has extensive experience in data science and engineering, having held various roles at companies such as Transamerica, Bechtel Corporation, and Amazon Web Services.
Work at Kensho Technologies
Adam Lineberry has been serving as a Senior Machine Learning Engineer and ML Tech Lead at Kensho Technologies since 2022. In this role, he focuses on developing advanced machine learning models and architectures, contributing to the company's efforts in data analysis and processing.
Previous Experience in Data Science
Prior to his current position, Adam worked at Transamerica as a Data Scientist from 2018 to 2020. He briefly held the role of Lead Data Scientist in 2020. He also gained experience as a Data Scientist at Amazon Web Services (AWS) from 2020 to 2022, where he applied machine learning techniques to large datasets.
Engineering Background
Adam has a diverse engineering background, having worked at Bechtel Corporation in various roles, including Task Manager, Structural Engineer, and Subcontract Technical Representative from 2014 to 2016. He continued at Bechtel as a Structural Engineer until 2017 and also served as a Data Analyst for 7 months in Reston, VA.
Education and Expertise
Adam Lineberry holds a Master of Science (M.S.) in Structural Engineering from Georgia Institute of Technology, completed in 2012. He earned a Bachelor of Science (B.S.) in Civil Engineering with minors in Computer Science and Mathematics from the University of North Carolina at Charlotte in 2011. He also studied Engineering at La Trobe University during a study abroad program in 2009.
Technical Skills and Certifications
Adam is proficient in various machine learning techniques, including clustering methods and topic modeling. He is certified as an AWS Solutions Architect and has expertise in programming languages such as Python, Scala, and R. His experience includes big data technologies like Spark and Hadoop, as well as strong knowledge of statistics and mathematics.