At Mayo Clinic, I build scalable healthcare applications, secure APIs, data pipelines, and AI/ML solutions that support clinical, analytics, and enterprise data workflows. I use Python, Java, Spark, Kafka, Airflow, Docker, Kubernetes, React, and cloud platforms to process high-volume healthcare data reliably.
Previously at Nike and Capital One, I delivered digital commerce and banking platforms, improving data-processing performance by 11%, reducing financial processing latency by 12%, and optimizing transaction response times by 14%. I bring hands-on experience in cloud-native microservices, distributed systems, automated delivery, security, observability, and production-quality engineering.
