Gabe Corbett is a technology leader with 11 years of experience blending AI, data, and cloud engineering with commercial strategy, currently serving as Director of AI, Data & Google Cloud at KPMG. He previously advised enterprise customers and built go-to-market solutions for Generative AI, hybrid cloud, and data pipelines at Google, and earlier combined engineering and product responsibilities as a first-hire technical lead who built production ML systems for talent matching. Gabe’s background spans developer-facing roles, enterprise sales engineering, and investment banking, giving him a rare fluency in technical architecture, commercial negotiations, and C-level storytelling. An active contributor to Google’s Ads Python client library, he brings hands-on backend experience with real-world integrations like compression and proxy handling. He holds an MBA from NYU Stern and a double-major BFA in Computer Science and Lighting Design, reflecting a multidisciplinary approach to problem solving and product design.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Fine Arts (BFA) Double major in Computer Science and Lighting Design, Bachelor of Fine Arts (BFA) Double major in Computer Science and Lighting Design at New York University
Master of Business Administration - MBA, Master of Business Administration - MBA at NYU Stern School of Business
Contributions:9 releases, 19 commits, 1 PR in 1 year 2 months
Contributions summary:Gabe primarily contributed to the Python client library for Google Ads APIs. Their work involved modifying and enhancing existing test files and core modules. Specific changes included incorporating features for gzip compression and handling of HTTP proxies, along with updates to the suds library interactions. The user also modified examples within the repository, specifically those related to DFP functionalities.
Contributions:9 pushes, 4 branches in 1 year 6 months
javascriptpython
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