Summary
John Gann is a Back End Python Software Engineer with a decade of experience applying computer science to complex government and research problems, currently building reliable infrastructure at Berkeley Lab. His background ranges from senior intelligence analysis at the NSA to site reliability and systems engineering on one of the fastest open-science supercomputers, giving him a unique blend of operational rigor and production coding. He pairs an MS in Computer Science and a Software Engineering certificate with an MBA from Wharton focused on management and finance, signaling a shift toward engineering leadership. Fluent in Mandarin and Korean, he brings cross-disciplinary curiosity—spanning natural and social sciences—to practical engineering standards adoption in the public sector. John enjoys translating industry best practices into more responsive, auditable government services and aims to scale that impact through engineering management.
10 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree Psychology, Bachelor’s Degree Psychology at Excelsior University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at San Francisco State University
Master of Business Administration - MBA Finance and Management, Master of Business Administration - MBA Finance and Management at The Wharton School
Associate’s Degree Mandarin Chinese, Associate’s Degree Mandarin Chinese at Defense Language Institute Foreign Language Center
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Thomas Edison State University
English, Esperanto, Korean, Chinese