Head Of Engineering, AI & Accessibility, Amazon Web Services
San Francisco, California, United States
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Summary
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Rockstar
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Top School
Sagir Khan is a senior engineering executive based in San Francisco who builds and scales AI-driven, accessibility-first platforms at cloud scale, currently leading the worldwide AI & Accessibility engineering charter for AWS. Over nine years he has founded and grown high-impact teams that influence $20B+ in revenue and empower 300+ AWS service teams and 40K+ builders to improve experiences for over 10M customers. His background spans applied ML and robotics at Amazon, large-scale eCommerce platforms at Walmart (driving $3B+ commerce and a $20M revenue lift), and founding engineering hubs and startups across APAC and EMEA. A hands-on technologist, he contributes to open-source projects like Node.js and has practical QA/test automation experience improving JavaScript test suites. He combines product-native thinking with deep systems and ML expertise, and has a track record of turning research-grade capabilities into operational, enterprise-grade services that scale.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at Visvesvaraya Technological University
Contributions:5 PRs, 33 comments, 1 issue in 11 months
Contributions summary:Sagir's contributions primarily involve modifying and improving existing test files within the Node.js repository. They refactored test code by replacing anonymous closure functions with arrow functions, leading to more concise and readable code. The changes were focused on improving test code style and maintainability, impacting the test suite's overall quality and readability. The user demonstrates a clear understanding of JavaScript and its use in testing Node.js applications.
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Sagir Khan - Head Of Engineering, AI & Accessibility, Amazon Web Services