Sr Software Engineer II at CVS Health

Lead the strategic migration of a legacy monolith into a fault-tolerant microservices architecture on AWS EKS, utilizing micro-frontends to decouple teams and increase deployment frequency. Engineered an immutable infrastructure pipeline using Terraform, eliminating configuration drift and slashing release cycle times by 60% through automated, consistent environment provisioning. High-Performance AI Engineering: Built a serverless RAG inference engine using AWS Lambda and LangChain, optimizing vector caching to deliver real-time clinical insights with sub-second latency and granular CloudWatch performance monitoring. Architected a robust microservices framework and CI/CD pipeline that slashed AI deployment cycles by 80%, accelerating the production delivery of mission-critical drug and vaccine recommendation engines. Optimized multi-cloud infrastructure (AWS ECS, GCP, Azure) by implementing resource abstraction layers, reducing cloud expenditure by 70% while maintaining 99.9% availability. These capabilities are architected to power high-throughput conversational AI and computer vision systems.My professional commitment is to the systematic application of these bleeding-edge technologies to deliver quantifiable improvements in operational efficacy, system-level efficiency, and end-user quality-of-service (QoS).