Designing and implementing best-in-class machine learning platforms for Venmo and PayPal Consumer Engineering across AWS and GCP.

Building ML Engineer tooling to enable MLEs to focus on what they do best.

Built machine learning tooling to allow data scientists to autonomously develop, test, and deploy versioned machine learning models using familiar notebook interfaces.

Developed decentralized, highly scalable web service for event sourcing that provided message authentication, fast schema validation and evolution.

Designed and implemented API that allows engineering teams to self-manage event stream creation, configuration, and ownership (sharing/governance).

Built data ingestion pipeline to convert real-time events into columnar Data Lake format for analytics jobs and reporting.

Designed and implemented event sourcing data stream service to register and collect user events for experiment tracking and analytics.

Designed and implemented scalable log shipping solution. Increased throughput 5x reducing backflow pressure and eliminating data loss.

Engaged by client to diagnose sporadic spikes in order validation latency within a Ruby-on- Rails/PostgreSQL application. Resolved months-long issue within 24 hours.

Led engineering to build scalable data processing systems and APIs to enable company to quickly integrate new markets.

Built microservice to centralize feature transformation logic resulting in higher data ingestion throughput with reduction in error resolution times.

Developed ownership portfolio machine learning application to map commercial properties to person-owner using entity recognition, agglomerative clustering, and graph databases.

Recruited, hired, and managed database operations and data infrastructure teams, guiding data architecture strategy from pre-IPO through first two years as a public corporation.

Managed data platform and data infrastructure teams, designed data platform global replication and backup/recover strategy from pre-IPO through first two years as a public corporation.

Led team responsible for 24/7 production database uptime and performance, supporting daily deploys and automated database migrations of 15+ engineering teams touching 20 services/schemas across multiple datacenters and time zones.

Led architecture design and roadmap planning for monolith decomposition and multi- datacenter serving solution.