Justin Austin
About Justin Austin
Justin Austin is a Technical Lead in NLP Software Engineering at Kensho Technologies, where he has contributed significantly to machine learning projects since 2018. He holds a Bachelor's Degree in Computer and Information Sciences and Philosophy from the University of Pennsylvania and has a diverse background in software engineering and machine learning roles.
Current Role at Kensho Technologies
Justin Austin serves as the Technical Lead for NLP Software Engineering at Kensho Technologies, a position he has held since 2022. In this role, he oversees the development and implementation of natural language processing solutions. His leadership focuses on enhancing the efficiency and effectiveness of machine learning operations within the organization.
Experience at Kensho Technologies
Justin Austin has a comprehensive history with Kensho Technologies, having worked in various capacities since 2017. He started as a Software Engineering Intern in the National Security Division, progressed to Junior Machine Learning Engineer, and then served as a Machine Learning Engineer before becoming Tech Lead. His contributions include leading the design and development of a topic modeling product valued at over $60 million and developing an entity linking product used by over 10,000 expert users.
Education and Expertise
Justin Austin earned a Bachelor's Degree in Computer and Information Sciences and Philosophy from the University of Pennsylvania, completing his studies from 2014 to 2018. His academic background provides a strong foundation for his work in machine learning and natural language processing, equipping him with both technical and analytical skills.
Previous Work Experience
Before his tenure at Kensho Technologies, Justin Austin held several positions that contributed to his professional development. He worked as an Administrative Assistant at The Wharton School for nine months in 2014-2015. Additionally, he gained experience as a Software Engineering Intern at CardConnect in 2016 and served as a Teaching Assistant for the Theory of Computation at the University of Pennsylvania from 2016 to 2017.
Contributions to Machine Learning Operations
In his current role, Justin Austin drives requirements for internal ML Ops services, addressing shared challenges faced by machine learning teams. His efforts benefit over 15 machine learning engineers by streamlining processes and enhancing collaboration across the organization.