Lead a global team of 25+ engineers, data scientists, managers, and product managers to develop and maintain business critical financial applications that power C-suite level decision making over >$10B revenue.

Lead our departmental AI strategy covering delivery efficiency investments, portfolio integration, and platform build/buy for ~200 engineers and ~300 stakeholders

Key driver of our department platformization efforts aimed at improving TTM - taking timelines from weeks/months to days - and increasing reuse, scalability, standardization, and best practice through delivery of shared platform infrastructure

Routinely pitch, design, and execute multi-quarter projects spanning 4+ teams to deliver on foundational objectives from standing up greenfield platforms to EOL-ing non-strategic products.

Mentor and manage career development of a diverse set of roles, from senior ICs to managers and product managers.

Led a team of 7 full stack and data engineers from concept to delivery of a financial analytics platform which continuously topped the Finance department (org size of 1k) OKRs 2 years running.

Guided team through multi-year strategy involving a pivot from building foundational BI datasets into the full-stack application space requiring upskilling, restaffing, promotion, and growing the team from 3 to 7 HC.

Piloted the switch from Scrum-style delivery practice to the Shape Up methodology resulting in significant increases in surveyed productivity and happiness and eventually adopted by 3+ more teams.

Data Does Good is a Public Benefit Corporation that helps people turn their personal data into cash for their favorite nonprofit. Our mission is to create new sources of funding for charitable causes by helping people see their data as a valuable resource that can be used for the public good. With the data collected from consumers, we help companies understand consumer shopping trends through a suite of market research tools. We donate a portion of every dollar we make back to the charities that our members support.

Technical head of three-person founder team leading a Stanford GSB born, 10-person startup bent on empowering consumers to share in the benefit of the online consumer data economy.

Worked intimately with both business and product to drive strategy and execution in all parts of the company and to ensure it was reflected in the long term technical roadmap.

Responsible for all top-level technology and IT decisions including vendor agreements, system architecture, and framework and tool selection.

Led hiring, resource planning, and management of all science and engineering talent.

Platform infrastructure developer providing infrastructure at scale for real time and historical compliance data pipelines.

Implemented an internal deployment of the Amazon S3 protocol as a department wide storage solution for long term management of more than 10 petabytes of sensitive client data. This system will serve as the primary storage layer for all teams within Bvault.

Managed in-house, cloud-compute and storage cluster, based on Apache Mesos, as a platform for deployment for 8 teams and counting within the Bloomberg Vault department.

Profiled production monitoring systems identifying bottlenecks that led to a 50x increase in system throughput.