Rahul Ahuja

Demonstrates foundational knowledge of artificial intelligence (AI) and machine learning (ML) concepts and use cases, along with AWS AI/ML services and best practices for responsible AI.

Validates advanced technical skills and experience in designing distributed applications and systems on the AWS platform. Demonstrates expertise in complex architecture design patterns.

Validates technical expertise in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. Covers architectural best practices and design principles.

Validates comprehensive ML engineering skills including data preparation, model development and deployment, production operationalization, performance analysis, and system monitoring and security.

Validates knowledge and understanding of The Open Group Architecture Framework (TOGAF). Demonstrates expertise in enterprise architecture principles, concepts, and best practices.

Demonstrates understanding of Scrum framework and the ability to serve as a servant-leader for Scrum teams. Validates knowledge of agile practices and team facilitation skills.