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Megan Kawakami has a diverse work experience in the field of engineering and computer science. Their most recent role is as an Engineering employee at Applied Intuition, starting in August 2021. Prior to this, Megan served as the CS70 Head TA at UC Berkeley from August 2020 to May 2021. They were also a Member of the Eta Kappa Nu (HKN) Mu Chapter at UC Berkeley from September 2018 to May 2021. Megan gained industry experience as a Software Engineer Intern at Microsoft in May 2020 to August 2020. They also worked as a CS70 Teaching Assistant at UC Berkeley from January 2020 to May 2020. Megan held various leadership positions in Machine Learning at Berkeley, including Head of ML@B's New Member Education Program from January 2020 to May 2020, Internal Vice President from May 2019 to December 2019, and Head of Member Development Committee from January 2019 to May 2019. They worked as a Software Development Intern at Ironclad, Inc. in May 2019 to August 2019, and as an Undergraduate Researcher at Berkeley RISE Lab from January 2019 to May 2019. Additionally, Megan served as a CS61B (Data Structures) Course Tutor at UC Berkeley from January 2019 to May 2019, and as a Mentor at Computer Science Mentors from August 2018 to May 2019.

Megan Kawakami attended the University of California, Berkeley from 2017 to 2021. During their time at the university, they pursued studies in Electrical Engineering and Computer Science, as well as Mathematics. However, no specific degree was mentioned in the provided information.