Ben L.
About Ben L.
Ben L. is a Tech Lead Manager specializing in deploying machine learning and AI models for autonomous vehicle systems. He has a diverse background in software engineering, having worked at various organizations including Westat, Oracle, and the U.S. Department of Homeland Security.
Work at TuSimple
Currently, Ben L. serves as a Tech Lead Manager at TuSimple, where he has been employed since 2021. In this role, he focuses on deploying machine learning and AI models specifically for autonomous vehicle systems. His responsibilities include overseeing the development of end-to-end AI systems that operate at web-scale, contributing to the advancement of autonomous technology within the organization.
Previous Experience at Oracle
Ben L. has extensive experience at Oracle, where he held multiple positions related to Applied AI Research. He worked as a Tech Lead Manager for 7 months in 2020, following a tenure as a Principal Software Engineer from 2018 to 2020. Prior to that, he served as a Senior Software Engineer from 2016 to 2018. His roles involved the development of AI systems and stream processing, enhancing the capabilities of large-scale AI applications.
Experience at Westat
Before his time at Oracle, Ben L. worked at Westat as a Software Developer from 2012 to 2015. During his three years in Rockville, MD, he contributed to various research projects aimed at improving lives through technology. His work at Westat laid the foundation for his later focus on AI and machine learning.
Background in Government Work
Ben L. has experience in the public sector, having worked as a Senior Software Engineer at the U.S. Department of Homeland Security from 2015 to 2016. This position provided him with insights into the intersection of technology and national security, further informing his later work in AI and autonomous systems.
Education and Expertise
Ben L. earned a Bachelor of Science (B.S.) in Mathematics from the University of Maryland College Park. His educational background supports his expertise in deploying machine learning and AI models. He specializes in stream processing and Kubernetes, which are critical for developing scalable AI systems.