
Harrison Cook engineered robust data processing, model training, and inference systems across the ecmwf/anemoi-inference and ecmwf/anemoi-core repositories, focusing on scalable deployment and reliability. He implemented dynamic device detection, advanced output handling, and flexible configuration overrides using Python and PyTorch, enabling seamless hardware compatibility and reproducible workflows. His work included refactoring input and output modules for NetCDF, Zarr, and GRIB formats, enhancing plotting with earthkit-plots, and improving metadata validation and provenance tracking. By integrating dynamic scaler updates, batch normalization, and schema-driven documentation, Harrison delivered maintainable, testable solutions that improved data integrity, developer experience, and automation across the ECMWF stack.

March 2025: Delivered targeted fixes across two repositories to improve documentation reliability and CI stability. ReadTheDocs configuration path in ecmwf/reusable-workflows was corrected to ensure the correct .readthedocs.yaml is used, preventing documentation build failures. In ecmwf/anemoi-inference, the flaky coupling test in tests/test_coupling.py was disabled to stabilize CI/test runners and avoid flaky failures. Together, these changes reduced build failures, lowered CI noise, and accelerated feedback for developers, contributing to more reliable docs and predictable release workflows.
March 2025: Delivered targeted fixes across two repositories to improve documentation reliability and CI stability. ReadTheDocs configuration path in ecmwf/reusable-workflows was corrected to ensure the correct .readthedocs.yaml is used, preventing documentation build failures. In ecmwf/anemoi-inference, the flaky coupling test in tests/test_coupling.py was disabled to stabilize CI/test runners and avoid flaky failures. Together, these changes reduced build failures, lowered CI noise, and accelerated feedback for developers, contributing to more reliable docs and predictable release workflows.
In Jan 2025, the earthkit-data repository delivered a key usability enhancement by exposing the array_api module at the earthkit.data top-level namespace, enabling developers to access array utilities via earthkit.data.array_api with a single import. Implemented via the commit 'Add array_api to top level' (85b7a6a863b67fc95bc00b58d42a8551cdea699f). No major bug fixes were recorded this month. Impact: simplifies usage for data processing workflows, shortens integration time for array operations, and clarifies the public API surface. Technologies demonstrated: Python packaging and namespace re-exports, API surface design, and commit-based traceability.
In Jan 2025, the earthkit-data repository delivered a key usability enhancement by exposing the array_api module at the earthkit.data top-level namespace, enabling developers to access array utilities via earthkit.data.array_api with a single import. Implemented via the commit 'Add array_api to top level' (85b7a6a863b67fc95bc00b58d42a8551cdea699f). No major bug fixes were recorded this month. Impact: simplifies usage for data processing workflows, shortens integration time for array operations, and clarifies the public API surface. Technologies demonstrated: Python packaging and namespace re-exports, API surface design, and commit-based traceability.
December 2024: Stabilized the model loading path for the inference pipeline in ecmwf/anemoi-inference by implementing robust Hugging Face checkpoint loading. The fix enables loading from both direct string paths and dictionary configurations containing 'huggingface' keys, reducing startup errors and improving production reliability.
December 2024: Stabilized the model loading path for the inference pipeline in ecmwf/anemoi-inference by implementing robust Hugging Face checkpoint loading. The fix enables loading from both direct string paths and dictionary configurations containing 'huggingface' keys, reducing startup errors and improving production reliability.
Concise monthly summary for 2024-11 focusing on business value and technical achievements for ecmwf/anemoi-utils. Implemented targeted CI/CD changelog automation alignment to reflect ongoing development on the correct mainline, reducing release risks and improving maintainability.
Concise monthly summary for 2024-11 focusing on business value and technical achievements for ecmwf/anemoi-utils. Implemented targeted CI/CD changelog automation alignment to reflect ongoing development on the correct mainline, reducing release risks and improving maintainability.
Monthly summary for 2024-10 focusing on __version__ import fallback improvements across ecmwf/anemoi-* repositories to improve packaging reliability and developer experience. Implemented standardized try-except fallback to access __version__ even when _version.py is unavailable or package not installed via setuptools.
Monthly summary for 2024-10 focusing on __version__ import fallback improvements across ecmwf/anemoi-* repositories to improve packaging reliability and developer experience. Implemented standardized try-except fallback to access __version__ even when _version.py is unavailable or package not installed via setuptools.
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