Aaron Khoo is a seasoned product and engineering leader with 20+ years building high-performing teams and scalable cloud platforms at Microsoft and Amazon, most recently running a 120-person org and a billion-dollar business at AWS. As CPO at ORSNN and fractional CTO at Forgepoint, he translates complex financial and technical problems into clear product roadmaps that drive real transactions and market liquidity. He led AWS services used by enterprises at extreme scale—helping AWS Data Protection grow from 60K to 400K accounts and multiple exabytes—and shipped governance tooling for large multi-account deployments. Aaron combines hands-on engineering (including Python-based AWS Config rule contributions) with calm, people-centered leadership focused on clarity, trust, and sustainable performance. He coaches senior engineering leaders to make grounded decisions and avoid burnout, blending executive experience with practical delivery expertise. Based in Bellevue, he pairs a PhD-level technical foundation with a track record of turning fragmented domains into intuitive, production-ready products.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Arts, Computer Science and Mathematics, Bachelor of Arts, Computer Science and Mathematics at Knox College
PhD, Computer Science, PhD, Computer Science at Northwestern University
[Node, Python, Java] Repository of sample Custom Rules for AWS Config.
Role in this project:
Back-end Developer
Contributions:34 commits, 25 PRs, 23 pushes in 1 year 9 months
Contributions summary:Aaron primarily contributed to AWS Config rule implementations, focusing on Python-based rules to check compliance with security best practices. They fixed existing rules by ensuring proper functionality and added new rules based on specific requirements. Their work involved interacting with AWS services like IAM and EC2, implementing logic to evaluate compliance, and integrating with the AWS Config service to report results. They also made iterative improvements based on review feedback, refining existing code.
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