At Equifax, I engineered a Python and GCP Observation Platform that monitors agent models and schemas, generates critical data elements, and reduces real-time operational alert latency. I also developed Angular interfaces to visualize observations, thresholds, and alert statuses.
At Amdocs, I engineered Java and Spring Boot financial platforms processing 100k+ daily transactions, with 99.9% data accuracy. I also automated workflows for 5k+ daily cases.
I architected Kafka-based event-driven microservices at Amdocs, improving throughput by 40% for peak traffic of 10k+ transactions per hour. I designed REST APIs and optimized PostgreSQL queries to reduce response times from over one second to under 200ms.
My personal projects include a Spring Boot feedback platform with Gemini sentiment analysis and a React restaurant ordering system with real-time tracking. I’ve also worked with Docker, Kubernetes, and CI/CD pipelines to deploy these systems.
