Kelvin T.
About Kelvin T.
Kelvin T. is a Senior Software Engineer at Headway, where he has worked since 2023. He has a diverse background in law and technology, having held various roles including Co-Founder at Litimetrics and Lead Software Engineer at Ordermark.
Work at Headway
Kelvin T. has been employed at Headway as a Senior Software Engineer since 2023. In this role, he focuses on developing advanced machine learning systems. His work aims to enhance compliance with payer medical coding and clinical requirements, utilizing his expertise in large language models and natural language processing.
Education and Expertise
Kelvin T. holds a Master of Laws (LLM) from the University of Chicago, which he completed from 2011 to 2012. He also earned a Bachelor of Arts (BA) and a Bachelor of Laws (LLB) from the University of Melbourne, studying from 2002 to 2007. His educational background supports his expertise in software engineering and machine learning, particularly in compliance-related tasks.
Background
Kelvin T. has a diverse professional background in both law and software engineering. He began his career as an Attorney in Dispute Resolution at Arnold Bloch Leibler in Melbourne, Australia, from 2008 to 2009. He later worked as a Litigation Associate at Minter Ellison from 2012 to 2016. His transition to technology began with co-founding Litimetrics, where he worked from 2016 to 2019.
Professional Experience
Before joining Headway, Kelvin T. held several significant positions in the software engineering field. He served as a Lead Software Engineer at Ordermark from 2020 to 2023 and as a Senior Software Engineer there from 2019 to 2020. Additionally, he worked as a Senior Backend Engineer at Komply, LLC for seven months in 2019. His roles have involved developing and productionizing machine learning systems.
Achievements in Machine Learning
Kelvin T. has made notable contributions to the field of machine learning, particularly in enhancing the precision of entity-extraction models used in compliance-related tasks. His focus on ensuring compliance through advanced machine learning systems demonstrates his commitment to integrating technology with regulatory requirements.