Hi, I'm Matthew Merritt

• •Took the initiative to design and engineer 'VADP in a box,' a comprehensive Docker-based solution for Visa's decisions platform, a system of distributed micro services, (including Kafka, Redis, etc.) that enables rapid, stable local development for 30+ developers. After presenting the solution, it was greenlit by senior leadership and now serves as the primary showcase tool, driving a strategic new platform feature.
• •Spearheaded a zero-downtime configuration framework, working closely with multiple service teams to design key APIs and integrate Kafka and Redis, enabling real-time deployment of business rules into live transaction handling workflows.
• •Selected as a key engineer for the platform's strategic expansion to AWS, responsible for developing critical features to achieve on-premise parity for an Account to Account business function. Currently engineering foundational support in the decision service for a newly acquired ML scoring service, setting the stage for its full integration.
• •Enhanced platform stability and security by pioneering its first performance testing framework, establishing comprehensive observability (monitoring/alerting with Grafana/Prometheus) in a new development environment, and engineering configurable TLS certificate management for database connections.

• •Successfully migrated backend APIs for Google Search’s shopping features, impacting 24 million daily users, to modern C++ frameworks, and modernized serving paths.
• •Drove multiple stages of the development process, including authoring design documents, participating in design reviews, implementing features, and supporting internal launches.

• •Designed, documented, and developed a comprehensive data management system, including a secure server-side REST API (Java) and associated client-side library (JavaScript), for research simulation data.

• •Built a highly requested internal C++ debugging tool for Google’s Pub/Sub distributed message delivery service, engineering code to handle concurrency and callbacks across distributed systems.

• •Implemented a C++ library and command-line tool to adjust resource allocations for internal Google key/value serving infrastructure, safely deallocating over 10 TB of RAM on its first run and interfacing with monitoring systems handling over 35 million keys per second.

GPA: 3.71