Hey, I'm Bill Pham.

Reliable Financial Infrastructure

Problem

Financial systems require high availability, controlled deployments, event-driven communication, and strong operational guarantees.

What I worked on

• Event-driven architecture
• RabbitMQ / messaging
• Distributed services
• Failure recovery
• Production incident remediation
• Deployment and DR
• Governance and operational reliability

Impact

Contributed to a more resilient, auditable deployment and incident-response process across a set of tightly coupled distributed services — the kind of operational discipline financial infrastructure demands by regulation as much as by good practice. Work spanned the full lifecycle: designing the event-driven paths between services, building in recovery for when something breaks rather than assuming it won't, and being one of the people paged when production incidents needed direct remediation.

AI-Powered Engineering Systems

Problem

Engineering change review (CRQs, Jira issues, architecture references, standards) is manual, slow, and inconsistent — the evidence a reviewer needs is scattered across several systems.

What I built

Engineering Change Review Agent — an agentic workflow that retrieves Change Requests, Jira issues, architecture references, and engineering standards, then synthesizes them into an evidence-backed review.

Impact

Turns a manual, cross-system lookup process into a single orchestrated workflow that hands a reviewer an evidence-backed summary instead of a blank search bar — treating AI as an engineering system with retrieval, synthesis, and review stages, not a single API call to a chat model.