Jack Wells
About Jack Wells
Jack Wells is a software engineer with a strong background in machine learning and data science. He has worked for notable organizations including the Central Intelligence Agency and Tecton, and holds degrees in Computer Engineering and Telecommunications Engineering.
Work at Tecton
Currently, Jack Wells serves as a Software Engineer at Tecton, a position he has held since 2023. Tecton specializes in machine learning infrastructure, and Wells contributes to the development and deployment of machine learning models. His role involves managing the necessary infrastructure to ensure efficient production deployment. Prior to this position, he worked at Tecton as a Solutions Architect from 2021 to 2023, where he focused on consulting and assisting clients in transitioning to production environments.
Education and Expertise
Jack Wells holds a Master of Science in Computer Engineering from Virginia Tech, which he completed from 2001 to 2003. He also earned a Bachelor of Science in Computer Engineering from the same institution, studying from 1995 to 2000. Additionally, he studied Telecommunications Engineering at the National School of Computer Science and Applied Mathematics of Grenoble for one year in 2000. His expertise includes creating and training machine learning models and managing infrastructure for production deployment.
Background
Jack Wells has a diverse professional background, having worked in various roles across different organizations. He was a Research Data Scientist at the Central Intelligence Agency from 2017 to 2019, where he focused on data analysis and research. Prior to that, he served as the Senior Director of the Foreign Partner Engagement Program and as the Director of Middle East Operations at the CIA from 2013 to 2017. He also co-founded MailMosh in 2018, contributing to its development until 2019.
Previous Work Experience
Before joining Tecton, Jack Wells worked at Invoice2go as a Senior Data Scientist and MLOps Engineer from 2019 to 2021. His role involved applying machine learning techniques to enhance product offerings. His experience spans consulting as an architect and working as a client-side data scientist, which has equipped him with a comprehensive understanding of production environments and client needs.
Speaking Engagements
Jack Wells is available for speaking engagements, particularly in the areas of machine learning and production environments. His extensive experience in the field allows him to provide valuable insights and knowledge to audiences interested in these topics.