AI-native engineering intelligence and automations to make big engineering teams feel small.

First engineering hire responsible for building out the initial product, backend APIs, infrastructure, and everything else in between.

Responsible for big data (xxxTBs) ETLs and high throughput (MM events/second) real-time systems. Uber's metric platform enabled teams across Uber to create, manage, share, and standardize metrics and machine learning features with ease and at scale. Metrics are used by teams to monitor key business indicators; features on our platform enable teams to discover features they can use to quickly build and deploy ML datasets at scale.

Responsible for architecting, building, and maintaining the search platform and related products. Worked on relevancy, big data, and infrastructure for the entire stack.