Production AI systems, agentic healthcare workflows, and cloud-scale infrastructure.

Oracle Health agentic AI systems

AI Architect and Gen AI Leader for agentic data, workflow, governance, privacy, and trust initiatives. Work includes multi-agent runtime harnesses, human-in-the-loop interrupts, API gateways, tool catalogs, workflow execution layers, memory-aware orchestration, extraction services, and policy-aware coordination for regulated healthcare use cases.

I also work with NVIDIA and OpenAI teams through formal technical partnership sessions to identify integration opportunities for enterprise AI, healthcare AI, agent runtimes, and production deployment patterns.

Amazon Bedrock and multimodal AI infrastructure

Technical leadership across multimodal AI initiatives, unstructured-to-structured data extraction, inference systems, model-serving foundations, multimodal reasoning pipelines, and integration patterns across AWS AI services and enterprise AI workflows.

AWS Rekognition and Textract

Work across inference platform modernization, model-serving architecture, accelerated inference, data collection and processing platforms, training-data governance, privacy frameworks, and production deployment patterns for AI services.

AWS CloudFront and edge systems

Cloud-scale control-plane and data-plane work across CloudFront and Amazon Global Accelerator, including configuration serving, propagation systems, high-availability architecture, policy-based distribution selection, and distributed systems reliability.

Enterprise and regulated systems

Earlier engineering work spans enterprise lifecycle management, ordering systems, transportation systems, legal systems, PII-sensitive applications, and product/platform modernization across large organizations.