Branden Lee Email & Phone Number

Duluth, GA, US

Seattle, WA, US

- Architected and led feature development that enables writers to both author and review all new and existing API documentation in AWS. Decreased review cycle time by 65%, increased auditability, and managed user workflows.- Integrated AI-assisted authoring into the writer's authoring tool (mentioned above) to decrease documentation time by 50-90%..

Sydney, NSW, AU

- Working on the Halp product: https://www.atlassian.com/software/halp- Customized CSV Exports- Led Private Replies initiative to enable private tickets through all our integrations. Learn more here: https://plz.halp.com/article/gb7whqfn5y-private-requester-thread-replies-setting- Co-led Queue Admins initiative to enable more admins at a more granular.

Atlanta, GA, US

- Migrated the existing data pipeline to a Serverless Architecture on AWS. Pipeline sent information to Dealer CRMs, OEMs, DealerTrack, VinSolutions, etc.- Created a cross-product integrations between VinSolutions(Offline) and Accelerate(Online) to ensure our offline and online car buying experiences are seamlessly integrated for shoppers.- Enabled dealers.

Atlanta, Georgia, US

• Developed a real time data pipeline that replicates data into the Google Cloud Platform and then transforms the data to serve out to consumers. Pipeline typically replicates 30,000 transactions/sec and can be scaled up.
• Created APIs using Java and Spring Boot which are deployed in Containers to Compute Engine instances in GCP. Stress tested and easily handled 10,000 calls/sec over an 8 hour duration on a single instance of the.
• Built and maintains entire CI/CD Pipeline for 3 teams which has decreased bug creations for new features by 50%, increased testing coverage by 10%, and lowered deployment time by 25%.
• Supports and releases new features on STEP; the application through where every item available in the Home Depot goes through in order to be sold in the Home Depot in Store or Online.

Seattle, WA, US

• Implemented a new multi-threaded DPDK stress-testing application that could send 2.1 million packets per second. The application contained 12 Unit Tests to test all portions of the code.
• Involved in the entire Agile development cycle for the program from requirement specification to deployment. The application underwent 120+ incremental code reviews.