At Scale AI, I architect Python services and PostgreSQL schemas that unify network, performance, alert, location, and structural data. I build Node.js, React, and TypeScript visualization experiences that turn correlated infrastructure data into topology-oriented views.
I’ve also built LangChain, embeddings, and vector database retrieval workflows that increased relevant-context retrieval throughput 2.3x. Using Microsoft Copilot, I helped raise validated release cadence from 2.1 to 3.4 deployments per week.
Previously at Zesty, InvoZone, and i2c Inc., I delivered full-stack and backend systems spanning Kubernetes optimization, machine learning, cloud ingestion, financial workflows, and developer automation. My work has reduced compute spend, shortened pipeline and deployment times, and improved automated test coverage and release readiness.
