Software Engineer

I lead architecture and development for fraud, authentication, payment-control, and commercial payment services. I designed the Trusted Supplier Validation service for the B2B Fraud Solutions team, using Global Merchant Registry data and composite matching across Acquiring BIN, Card Acceptor ID, and Country Code to achieve a 91% merchant match rate for a pilot client.

I build and harden services within Visa's 3DS authentication platform, including outbound VCAS dispatch flows for real-time issuer risk decisioning. I own automated regression testing across the 3DS lifecycle, covering asynchronous Kafka user mapping, OTP and biometric routing, challenge execution, result validation, and downstream fintech responses.

I architected B2B Authorization Consumer and Producer microservices using Java, Spring Boot, Kafka, gRPC, and PostgreSQL. I improved VPC batch scalability through an active-active database architecture, modernized POP workflows with mTLS-connected Temporal workers, strengthened error handling, and implemented real-time validation for Card Eligibility APIs.

I delivered an automated billing reporting service and one-click CI/CD pipelines using GitHub Actions, Docker, and regression automation, reducing release cycles from more than five hours to approximately ten minutes. I also remediated more than 3,000 Checkmarx and Sonatype vulnerabilities and improved PCI DSS compliance through credential vaulting, hardened code, and AES encryption.

I led a complete rewrite of the VPC Admin web application used by internal administrators and issuing banks for onboarding, card-control management, and notification settings.

I developed the application using Angular, Spring Boot, and MySQL, contributing to a more modern and maintainable platform for key payment-control stakeholders.

I built a Flask and R analytics web application that applied Bayesian inference to advertising-performance data for cookie-less attribution insights. The solution reduced manual media analysis by approximately 15 hours per week.

I developed a Flask reporting platform to identify high-loss advertising placements caused by blocked ads, reducing campaign waste by approximately 10% for Samsung, Crocs, and Sherwin-Williams. I also conducted Gen Z advertising engagement research and created interactive R and Tableau dashboards to inform Little Caesars' 2020 marketing campaign strategy.

Relevant coursework included Data Science, Data Structures and Algorithms, Computer Architecture, Computer Security, Analysis and Design of Algorithms, iOS Mobile Programming, Databases, Advanced Web Application Development, and Human-Centered Computing.