Helping to build best in class tools for machine learning engineers and tinkerers

* Capturing, organizing, distilling, and re-expressing tribal knowledge to help the product area navigate our complex domain

* Identifying opportunities to align and enable the larger financial engineering organization through platformization and other joint development opportunities

* Leveling up the product area through knowledge workshops, domain modeling exercises, and peer mentorship

* Running Spotify-scale data experiments to challenge core assumptions

* Spinning up new teams and coordinating with leads across the organization to ensure rapid, high quality, solution delivery as Spotify expands into new verticals

* Designing domain specific languages to translate legal contracts into interactive calculation playgrounds

* Designing and building data pipelines to process hundreds of billions of business events across dozens of sources

* Building high performance calculation infrastructure to accurately allocate billions of dollars in royalties to millions of creators.

Designing, prototyping, and productionizing domain-specific languages for hybrid batch and real time data processing pipelines, for structured analysis of electronic health record data.

Tending to the evolution of the microservices for capturing the clinical events that feed our data products.