Jul 2022 – Jan 2025 · 2 yrs 6 mos · Remote

• Extracted a product-agnostic “Payments” domain from within the Stripe Invoice product with the result of (a) making the invoicing codebase more accessible, and (b) allowing for new products to integrate with “Payments” without embedding the Stripe Invoice product.
• Consolidated fragmented data flows across invoice finalization. Before this, one could not easily reason about what the finalization process entailed because each entrypoint (e.g. API endpoint) was orchestrating its own unique version of finalization.
• Migrated Stripe Billing products from home-grown payment configuration to a purpose-built payment configuration system. This addressed a major product quality issue where users could not reason about which configuration would be used on a given surface.

Jan 2022 – Jun 2022 · 5 mos · Remote

• Created a plan to isolate fulfillment system from the rest of the monolith via application boundaries and strong data contracts to maintain feature velocity while aggressively increasing staff.
• Launched new infrastructure components (e.g. Kafka) to enable the architectural vision.
• Inculcated good practices through example and by pairing with other engineers.

Jul 2021 – Jan 2022 · 6 mos

• Broke apart the legacy fulfillment optimization system into discrete domains by reshaping the data flow within the system and then iteratively refined responsibilities. This enabled teams to operate independently and tightened development feedback loops.
• Documented and articulated the vision of the fulfillment optimization platform, verified that this vision made sense to each local team in the organization, and then ensured that each team’s roadmap drove towards this vision (up to pragmatism).
• Mentored both teams and individuals across the platform in system architecture and coding best practices.

Jul 2020 – Jun 2021 · 11 mos

• Iteratively migrated delivery date estimation architecture from a synchronous web service into an asynchronous pre-compute pipeline so that it could scale with supply chain events rather than with customer traffic.
• Worked with product partners to develop a vision for platform evolution and to articulate the implicit business value of technical initiatives.
• Pioneered new CI/CD processes and git repository approaches to break away from the mono-repo and the legacy infrastructure.
• Presented to operational engineering (~500 engineers) on how to break down large architectural change into small, testable, independently verifiable pieces.

Jul 2019 – Jun 2020 · 11 mos

• Iteratively migrated the inventory system architecture from customer-facing database access into a pre-compute pipeline.
• Migrated a high-performance, high-availability web service from .NET Framework IIS VMs into ASP.NET Core Kubernetes deployments in both cloud and on-prem environments.
• Took ownership of system stability and scalability in preparation for Black Friday and other events.

Sep 2018 – Jun 2019 · 9 mos

• Created highly-scalable, low-latency Kafka data pipeline that emits 1B messages per day.
• Built a statistics framework to empirically measure the performance impact of proposed SQL changes.
• Authored a C# framework to allow for the easy caching of SQL data in the team’s distributed web service.

Feb 2011 – Aug 2018 · 7 yrs 6 mos · Atkinson, New Hampshire, United States

• Algorithmizing math problems and developing online content for mathematics courses of varying levels.
• Subject matter expert in statistics, differential equations, and linear algebra.
• Resident automation extraordinaire and Python whiz-kid.