Anuj Bansal is a Lead DevOps Engineer with 11 years of experience building scalable cloud-native infrastructure and developer tooling, currently running production AWS and EKS stacks for blockchain projects at Toptal. He combines hands-on infrastructure-as-code expertise (Pulumi, Terraform, CloudFormation, Ansible) with CI/CD automation using GitHub Actions and custom self-hosted runners, and has a strong backend engineering background in Python and JavaScript. Anuj contributes to notable open-source projects—adding GitHub API features to PyGithub and GCP storage support to cookiecutter-django—bringing practical OSS improvements that bridge developer ergonomics and cloud ops. A former curriculum specialist and mentor, he also teaches programming and authors technical content, reflecting a passion for knowledge-sharing alongside delivering reliable systems. Based in Gurugram, India, he blends research-grade curiosity (robotics and SLAM work) with pragmatic production experience, making him adept at turning complex requirements into maintainable automation.
11 years of coding experience
3 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Contributions:5 commits, 6 PRs, 9 comments in 8 days
Contributions summary:Anuj contributed to the `pygithub` project by implementing new features and improving existing functionality related to the GitHub API. Their work included adding support for draft pull requests, creating project management capabilities, and implementing methods for editing and deleting projects. These contributions demonstrate a focus on expanding the library's coverage of the GitHub API and improving its usability.
Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.
Role in this project:
Back-end & Cloud Engineer
Contributions:5 commits, 4 PRs, 5 comments in 25 days
Contributions summary:Anuj contributed to the project by adding support for Google Cloud Platform (GCP) for media and static file storage. They modified the Django settings to integrate with Google Cloud Storage, including defining the necessary configurations. Furthermore, the user corrected code formatting and added a parameter to existing tests. These changes indicate a focus on enhancing the project's cloud infrastructure and ensuring correct functionality.
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