Scoped, designed, and implemented refreshable refresh tokens for public Pinterest developer API, allowing external Pinterest API developers to maintain validity of their OAuth2 tokens by continuously refreshing the access tokens with the new refreshable refresh tokens in a daisy chain manner.
Scoped, designed, and implemented automated review system for increasing the velocity in which applicants receive a decision for access to the Pinterest API. Utilized a variety of advanced algorithms organized in a pipe-and-filter architecture. This automation saves reviewers 970 hours per year of manual reviewing new external app applications.
Lead planning and development of new token based on the client credentials flow defined in OAuth 2.0 RFC 6749. This token allows external developers to be able to quickly create non-refreshable access tokens utilizing the user-identity of the current app owner, alleviating them of needing to go through the manual, frontend approval process, increasing developer velocity and automations.
Lead planning, documentation, architecturing and development of the new Pinterest Developers API Reference site to reduce load times, improve SEO, allow extensibility beyond the previous Redoc library experience, improve logging capabilities, and help streamline the design language of the Pinterest developer site in general. I was then able to extend this functionality with features such as the API Explorer. I developed an API Explorer to increase developer velocity by allowing an environment to quickly test request payloads and help understand V5 endpoints.
Architected and built an asynchronous system for "replaying" requests that were dropped, rate limited, or failed due to internal issues. This allows us to save revenue from potential data losses from revenue-generating endpoints. This service is built using internal asynchronous data processing systems, Kafka streaming, internal key-value store databases, and Kubernetes deployment strategies.
