Jefferson Lee
About Jefferson Lee
Jefferson Lee is a Senior Machine Learning Software Engineer with extensive experience in software development and quantitative analysis. He has worked at various companies, including S&P Capital IQ and d1g1t Inc., and holds multiple degrees from the University of Toronto in Electrical and Computer Engineering.
Current Role at Borealis AI
Jefferson Lee serves as a Senior Machine Learning Software Engineer at Borealis AI, a position he has held since 2021. In this role, he focuses on machine learning engineering, leveraging his extensive background in software development and quantitative analysis. His work involves designing and implementing machine learning models that contribute to the company's objectives in artificial intelligence.
Education and Expertise
Jefferson Lee holds a Bachelor’s degree in Electrical and Computer Engineering from the University of Toronto, which he completed from 2005 to 2009. He further pursued a Master of Applied Sciences in the same field at the same institution from 2009 to 2011. His academic background provides a strong foundation in both theoretical and practical aspects of engineering, particularly in communications and quantitative modeling.
Professional Background
Jefferson Lee has a diverse professional background with experience in various roles. He began his career as a Radio Certification Tester at Research In Motion from 2007 to 2008. He then transitioned to S&P Capital IQ, where he worked as a Senior Financial Engineer from 2011 to 2015. Following this, he served as a Quantitative Consultant at FIS for eight months in 2016. He also worked as a Senior Quantitative Developer at d1g1t Inc. from 2017 to 2021, before joining Borealis AI.
Experience in Quantitative Systems
Jefferson Lee has approximately 10 years of experience in implementing and designing large-scale commercial quantitative systems. His roles have involved significant responsibilities in quantitative analysis and software development, equipping him with the skills necessary to tackle complex engineering challenges in the financial and technology sectors.