Guillermo Gette is a seasoned software leader and two-time co-founder with 12 years of experience building product-led startups and enterprise-grade systems from Sydney. He currently runs Brainner, delivering AI agents that automate resume screening and integrate securely with ATS platforms, and leads Workast, the #1 independent Slack productivity app used by teams at IBM, PayPal and Expedia. Hands-on across architecture, DevOps and product design, he has scaled multi-region AWS infrastructures and built AI-driven workflows that prioritize compliance and measurable ROI. His background spans high-impact engineering roles at Expedia and Yahoo7 and technical leadership across fintech and consumer startups, giving him a rare blend of startup grit and enterprise delivery. An active contributor to open-source projects, he’s improved notable repos like the Xero Node SDK and enhanced chrono’s natural-language date parsing—small signals of his penchant for practical, reusable tooling. He started building websites at 12 and still codes alongside running companies, favoring solutions that solve real operational bottlenecks rather than flashy features.
12 years of coding experience
9 years of employment as a software developer
Bachllerato Comun, Bachllerato Comun at Colegio San Agustin
Industrial Engineering, Industrial Engineering at Instituto Tecnológico de Buenos Aires
Xero Node SDK for OAuth 2.0 generated from XeroAPI/Xero-OpenAPI
Role in this project:
Back-end Developer
Contributions:16 commits in 3 months
Contributions summary:Guillermo primarily contributed to the development of the Xero Node SDK by adding features and modifying existing functionalities related to bank transactions and bank transfers. They implemented the ability to create bank transactions and bank transfers, including related schemas and helper functions. Significant changes involved modifying date handling, and adjusting object representations.
Contributions:5 commits, 1 PR, 2 comments in 1 day
Contributions summary:Guillermo primarily focused on enhancing the functionality of the natural language date parser. They added a new casual time parser, integrated it into the options, and extended the testing suite to cover the new features, including weekday and casual time combinations. The user's contributions also involved customizing the time parameters to allow a greater level of flexibility.
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