Domenick Packett
About Domenick Packett
Domenick Packett is a Principal Engineer and Lead Data Scientist currently working at Otonomi in Brooklyn, New York. He has extensive experience in software engineering and data analysis, having held various roles in notable companies and earned degrees from the University of Virginia and the Massachusetts Institute of Technology.
Work at Otonomi
Domenick Packett currently serves as Principal Engineer and Lead Data Scientist at Otonomi, a position he has held since 2023 in Brooklyn, New York. In this role, he leads the development of generative AI engineering for both customer-facing and internal products. He previously worked at Otonomi as Lead Senior Software Engineer for 7 months in 2023. His responsibilities include analyzing large data sets and presenting statistical analyses, as well as deploying AI workflows and machine learning models across cloud infrastructure.
Education and Expertise
Domenick Packett studied at the University of Virginia, where he earned a Bachelor of Arts (B.A.) in Physics and Neuroscience from 2007 to 2009. He furthered his education at the Massachusetts Institute of Technology, obtaining a certification in Applied Data Science in 2022. His expertise includes exploratory data analysis, machine learning model design, and the development of full-stack solutions for user dashboards.
Background
Domenick Packett has a diverse professional background in software engineering and data science. He co-founded Relovely LLC, where he worked from 2019 to 2022 in the New York City Metropolitan Area. Prior to that, he held various positions, including Senior Software Engineer at Snag from 2019 to 2022 in Richmond, Virginia, and Mobile Software Engineer at Wakefern Food Corp. from 2018 to 2019.
Previous Work Experience
Before joining Otonomi, Domenick Packett worked at several companies in various engineering roles. He was a Software Engineer at Tech Dynamism from 2015 to 2017 in Charlottesville, Virginia, and a Mobile Software Engineer at WillowTree, Inc. from 2017 to 2018. His experience spans multiple sectors, contributing to his broad skill set in software development and data science.