
Worked on the quic/aimet repository to automate the CI/CD pipelines and streamline the release process for the AIMET PyPI package. Developed nightly build automation and a bi-weekly, manually triggered release pipeline, integrating testing and deployment to PyPI to accelerate and standardize releases. Updated the Dockerfile using Shell and YAML to incorporate a newer CUDA version, ensuring compatibility with evolving dependencies. Focused on reducing manual intervention and improving reproducibility across environments, the work shortened release cycles and enhanced reliability. Leveraged skills in Docker, GitHub Actions, and build systems to deliver a maintainable automation framework that supports faster, more consistent package delivery.
In January 2025, delivered automated CI/CD pipelines and release process for the AIMET PyPI package, enabling faster, more reliable releases. Implemented nightly builds and a bi-weekly release pipeline with manual triggering for builds, testing, and deployment to PyPI. Updated Dockerfile to use a newer CUDA version to maintain compatibility with the latest dependencies. The changes reduce manual toil, shorten release cycles, and improve reproducibility across environments, accelerating time-to-market for AIMET users.
In January 2025, delivered automated CI/CD pipelines and release process for the AIMET PyPI package, enabling faster, more reliable releases. Implemented nightly builds and a bi-weekly release pipeline with manual triggering for builds, testing, and deployment to PyPI. Updated Dockerfile to use a newer CUDA version to maintain compatibility with the latest dependencies. The changes reduce manual toil, shorten release cycles, and improve reproducibility across environments, accelerating time-to-market for AIMET users.

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