Jack Gao

Jack Gao

Staff Software Engineer @ Flexport

About Jack Gao

Jack Gao is a Staff Software Engineer at Flexport with extensive experience in software engineering and leadership roles at various tech companies.

Current Role at Flexport

Jack Gao is currently employed as a Staff Software Engineer at Flexport. In this role, he has been involved in building real-time search and price generation systems to facilitate global logistics. His work also includes implementing supporting infrastructure using Kubernetes and Kafka for efficient data processing.

Previous Experience at Fathom

Between 2018 and 2022, Jack Gao held multiple roles at Fathom. He initially joined as a Software Engineer from 2018 to 2019. Recognized for his capabilities, he was promoted to Engineering Team Lead, a position he held from 2019 to 2022. During his tenure, he led the development and optimization of an OpenSearch cluster capable of indexing 4 billion offerings and designed API contracts for the Commerce organization.

Work History at Twitch

Jack Gao served as a Software Engineer at Twitch from 2015 to 2018 in the San Francisco Bay Area. This period marked a significant part of his career, as he was involved in various technical and organizational projects, though specific projects are not listed.

Educational Background

Jack Gao holds two bachelor degrees from universities in Canada. He studied Computer Science at the University of Waterloo, earning a Bachelor of Computer Science upon his graduation in 2015. Concurrently, he pursued a Bachelor of Business Administration (BBA) at Wilfrid Laurier University, completing it in 2015.

Early Career Internships

Jack Gao began his career with several internships that provided a foundation for his professional development. In 2011, he was a Software Engineering Intern at Tagged, followed by a stint at Google in Mountain View, California, in 2012. He later interned as a Program Management Intern at Microsoft in 2013, as a Forward Deployed Engineering Intern at Palantir Technologies in 2014, and as a Data Science Intern at Square in 2015.

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