Senior Software Engineer
I build the backend systems that move loan decisions, approvals, and compensation through Capital One at scale and lately, the AI tooling that speeds up how my team ships them.
Problem: approvals across sales teams were scattered through email and Slack threads, with no audit trail or status visibility.
My role: architected and built the event-driven approval microservice end to end. Schema, state machine, and rollout.
Outcome: one system now handles 100+ approvals a day with a full audit trail and live status tracking.
sales agents running approvals through a single auditable system
Problem: standing up dashboards and alerts for a new service took engineers days of manual configuration.
My role: designed and built a tool that generates dashboards and alerts directly from a service’s metrics on request.
Outcome: setup dropped from days to minutes, and the project took Runner-Up at a company-wide hackathon.
to stand up dashboards and alerts for a new service
Problem: the core decisioning engine ran single-threaded, making it the bottleneck as application volume grew.
My role: refactored execution into a multi-threaded worker pool, a 50% latency cut, and built the graph-authoring UI engineers still use today.
Outcome: the platform orchestrates ~1,000-node DAGs across six microservices with zero execution failures.
loan applications decisioned per day on the platform
I’m currently a software engineer at Capital One, working on the systems behind auto lending. The services that decide loans, route approvals, and calculate dealer compensation. Most of it lives in the part nobody sees: making sure work happens in the right order, holds up under volume, and fails in ways someone can actually debug at 2am.
The parts I enjoy most are the unglamorous ones. Clear ownership, useful logging, tests that catch real problems. Lately I’ve been looking for places where AI can take the repetitive work off my team’s plate, which is how the observability tooling above came about.
Outside of work you’ll usually find me on a basketball or pickleball court, at a piano, or planning the next trip.