Summary
Aayush Shah is a Senior Cloud Engineer and Architect with 9 years of experience designing secure, enterprise-grade cloud platforms across AWS, Azure, and GCP, with deep FinTech domain expertise. He has led large-scale migrations (including a $50M-revenue FinTech move from Azure to AWS) and delivered $1.1M in annual cloud cost savings through rightsizing, reserved planning, and automation. As a technical lead and Enterprise Architecture member, he couples cloud security and compliance (PCI-ready environments) with observability and CI/CD best practices to improve reliability and auditability. He’s active in AI-driven cloud modernization, helping institutionalize Amazon Bedrock, multi-agent workflows, and a custom ChatGPT for Terraform and FinOps that cut repetitive engineering work by ~30%. Comfortable mentoring teams and partnering with product and compliance, he blends hands-on implementation with strategic governance. Based in Los Angeles, he also has experience supporting academic and telco-cloud research workloads, reflecting a breadth from high-performance computing to production FinTech systems.
9 years of coding experience
8 years of employment as a software developer
Executive Ph.D., Information Technology, Executive Ph.D., Information Technology at University of the Cumberlands
Bachelor of Engineering (BE), Computer Engineering, 8.37, Bachelor of Engineering (BE), Computer Engineering, 8.37 at Gujarat Technological University
Master's degree, Computer and Information Systems Security/Information Assurance, Master's degree, Computer and Information Systems Security/Information Assurance at Colorado State University College of Business
English, Hindi, Gujarati