I'm a software engineer with two years of full-time experience at Booz Allen Hamilton, working across federal cloud infrastructure, AI systems, and test engineering. The work has been varied — from FAFSA AI prototypes and Kubernetes migrations to building accessibility pipelines and pushing back on AI governance proposals that didn't hold up to scrutiny.
Outside of work, I spent the last year building VTaaS from scratch — a production-deployed distributed video transcoding service on AWS. Not a tutorial project, not a toy app. Real cloud infrastructure: presigned uploads, SQS-decoupled workers, ECS Fargate containers, CloudWatch debugging, and IAM policy simulation to root-cause failures that don't surface in local dev. I needed something that would force me to think like an infrastructure engineer, and it delivered.
I also shipped 2llm, a live AI tooling product that converts ChatGPT memory exports into Claude-compatible formats. It picked up 8,500+ organic views on Reddit at launch — useful signal that the problem was real and the solution resonated.
In Fall 2026, I'll be starting Georgia Tech's OMSCS program. I'm aiming for senior backend and infrastructure roles at top-tier companies — the kind of work where distributed systems depth actually matters.