Sean L.
About Sean L.
Sean L. is a Software Engineer Intern with a background in Computer Science and Electrical Engineering. He has interned at various tech companies, including Facebook and Two Sigma, and has held leadership roles in student organizations.
Work at Two Sigma
Currently, Sean L. works as a Software Engineer Intern at Two Sigma, where he has been involved for three years since 2021. His role includes contributing to software engineering projects, specifically within the AI Core Team. This position allows him to apply his technical skills in a collaborative environment focused on innovative solutions.
Education and Expertise
Sean L. studied at the University of California, Berkeley, where he completed a Bachelor of Science in the Management, Entrepreneurship, & Technology (M.E.T.) program, focusing on Electrical Engineering and Computer Science (EECS) and Business Administration from 2018 to 2022. He also attended Cornell University, participating in a Summer College program in Computer Science for 11 months in 2016.
Previous Internships and Roles
Prior to his current position, Sean L. gained diverse experience through several internships. He worked as a Software Engineer Intern at Facebook in 2020 for three months and held roles at Oracle and Unanimous AI, focusing on software engineering and machine learning. Additionally, he served as a Machine Learning Consultant at percipient.ai and SiMa.ai, applying his expertise to various projects.
Leadership Experience
Sean L. held a leadership position as Vice President of Internal Affairs on the Berkeley M.E.T. Student Board from 2019 to 2020. In this role, he contributed to the internal development of the organization, enhancing its operations and member engagement. His involvement in leadership roles demonstrates his commitment to organizational growth and collaboration.
Research and Development Experience
Sean L. participated in the UCSB Research Mentorship Program as a Research Intern in 2017, gaining valuable early research experience. He also contributed to machine learning projects as a Machine Learning Engineer at Machine Learning at Berkeley from 2019 to 2020, where he was involved in developing practical applications of machine learning technologies.