Andy Hayden is a seasoned engineering executive and former CTO with 13+ years building cloud-native, data-driven platforms from San Francisco. He combines deep hands-on expertise in Python, Scala and AWS with a mathematician’s rigor—formerly a pandas core contributor and PhD-level researcher in geometry—who drove a 70% server cost reduction through architecture simplification and automation. As VP of Engineering at HW Media (following Altos Research) he focuses on pragmatic stack simplification, ML-informed products, and operational efficiency. An active open-source contributor, his commits span high-profile projects like pandas, Julia and Deno, often improving test coverage, tooling and documentation to raise code quality across ecosystems. Outside engineering he’s a whitewater kayak coach, reflecting a leadership style that blends technical precision with practical coaching and clear communication.
13 years of coding experience
9 years of employment as a software developer
Cambridge Chief Technology Officer Programme, Cambridge Chief Technology Officer Programme at Cambridge Judge Business School
Udacity
Master of Mathematics, Mathematics, Master of Mathematics, Mathematics at University of Warwick
Latest dockerfiles and images for Deno - alpine, centos, debian, ubuntu
Role in this project:
DevOps Engineer & Automation Engineer
Contributions:53 releases, 9 reviews, 187 commits in 2 years 4 months
Contributions summary:Andy primarily focused on enhancing the project's deployment and build processes. Their contributions include automating the build and deployment of Docker images, setting up CI/CD pipelines, and implementing scripts to manage the Deno versioning and deployment to Docker Hub. They also added build files for different operating systems like Amazon Linux and CentOS. The user's work streamlined the development workflow and improved the project's portability.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Backend Developer & Code Quality Engineer
Contributions:160 commits, 4 PRs, 2 pushes in 3 years
Contributions summary:Andy's commits primarily focus on code style enforcement and refactoring within the pandas library. They used autopep8 to automatically format Python files and made manual adjustments to ensure code logic integrity. Additionally, the user corrected and refactored several tests to address failures arising from style changes and other formatting changes. Further contributions include shortening long lines and ensuring DataFrame and MultiIndex functionality related to drop, isin, to_latex, to_clipboard, and other methods.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.