At Wells Fargo, I build backend and platform engineering systems that improve reliability, performance, and deployment automation. I designed a Redis-backed sliding-window API rate limiter that reduced quota-limit-exceeded failures by 20% under high-load traffic.
I've built GitOps-based model deployment pipelines on OpenShift AI with Argo CD, optimized inference services on Kubernetes and Run:ai, and developed testbeds for sub-10-second latency validation. I also implemented end-to-end observability and tracing with Arize for distributed production workflows.
Previously, I developed a loan-record validation platform that reduced turnaround time and operational costs by 30%, secured $4.8 million in funding, and contributed to my promotion to Senior Software Engineer. I bring hands-on experience across Python, C++, FastAPI, Terraform, Redis, Elasticsearch, Kafka, cloud infrastructure, and scalable retrieval systems.
