Professional CV
AI infrastructure, healthcare AI, and cloud-scale platform leadership.
Selected professional summary of Manu Agrawal's work across AI infrastructure, agentic AI, healthcare AI, cloud platforms, and trustworthy enterprise AI systems.
Summary
Technology leader with 13+ years of experience driving AI, data, and platform transformation across healthcare and cloud. Current work focuses on agentic data, workflows, governance, privacy, trust, and AI platform strategy at Oracle Health.
Previously led technical strategy and execution across large engineering organizations at Amazon Web Services, spanning multimodal AI, inference platforms, cloud edge systems, data platforms, and production distributed systems.
Experience
- 2025-present
-
Oracle Health - Architect, Agentic, Data, Privacy and Trust
Defines architecture and platform direction for agentic healthcare systems, including multi-agent runtimes, human-in-the-loop coordination, tool catalogs, workflow execution, extraction services, evaluation loops, memory-aware workflows, retrieval systems, and policy-aware execution.
- 2016-2025
-
Amazon Web Services - AI, cloud, and distributed systems
Worked across Amazon Bedrock, AWS Rekognition, AWS Textract, CloudFront, Amazon Global Accelerator, and related platform systems. Work included multimodal AI infrastructure, unstructured-to-structured data extraction, inference modernization, data platforms, control planes, edge systems, and highly available distributed architectures.
- AWS AI
-
Amazon Bedrock, Rekognition, and Textract
Led or contributed to multimodal AI initiatives, model-serving foundations, accelerated inference systems, production AI service design, data processing platforms, training-data governance, privacy frameworks, and reusable AI platform components.
- AWS Edge
-
CloudFront and Amazon Global Accelerator
Designed and delivered control-plane, data-plane, propagation, and configuration-management systems supporting high-scale cloud edge infrastructure and production service reliability.
- Earlier roles
-
Parametric Technology Corporation, Amdocs, Ericsson
Worked on enterprise lifecycle management, ordering systems, telecom software, and early software engineering projects before moving into large-scale cloud and AI infrastructure.
Education
Bachelor of Engineering in Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, India.
Skills
- Agentic AI systems and multi-agent orchestration
- Healthcare AI platform architecture
- AI governance, trust, privacy, and evaluation
- Distributed systems and cloud control planes
- Java, Kotlin, Go, Python, SQL, C++, Rust
- OpenSearch, DynamoDB, Oracle, MySQL
- Model serving and inference systems
- Workflow execution and retrieval systems