At Sabre, I build production AI capabilities that turn natural-language requests into SQL for BigQuery fare and pricing data using Google ADK and Gemini. I’ve also developed RAG backends with Gemini and vector databases, improving internal documentation retrieval to 90% precision@k.
I design resilient, event-driven microservices on GCP and GKE, including fare-change notification services with 99.9% delivery success and KEDA autoscaling for repricing workloads. I’ve reduced fare-recalculation latency by 30%, modernized services from REST to asynchronous event-driven architecture, and improved query response times while eliminating 15+ known vulnerabilities.
I bring hands-on experience across Python, Java, cloud infrastructure, CI/CD, observability, and AI-assisted engineering workflows. I also build reliable delivery practices through automated testing, GitHub Actions, OpenTelemetry, and cross-functional Agile collaboration.
