Working on data quality, data classification, and agent quality

Worked to make Tecton the de-facto solution to build production ML feature pipelines.

Led efforts to build out Rift (https://resources.tecton.ai/rift), the next-gen Python based feature compute engine.

Managed the Feast (http://feast.dev) team to improve the best-in-class open-source feature store, growing project adoption by ~5x.

Drove improvements to post sales processes while directly owning and expanding contracts for some of Tecton’s largest customers.

Worked across ML research teams and product teams to make Google Docs/Sheets/Slides intuitive and intelligent consumer and enterprise product offerings across web and mobile platforms.

Included building models (incl LLMs), working with research orgs, building a privacy-aware ML infra layer, and integrating with products to launch features to production.