In May 2026, delivered the HDF5 Frame Writing Enhancement with VDS Support for bluesky/ophyd-async. Implemented writing all frames in the first HDF5 file and resolved a virtual dataset (VDS) issue, with tests updated to reflect the new data-writing path. This work stabilizes long-run data captures, reduces data fragmentation, and improves reliability for downstream analytics. Key achievements include the all-frames-in-first-file write (commit 35a0baa1d3908e0d6d576773175328f178253e1d), VDS stabilization, and test alignment. Technologies demonstrated include Python, HDF5, testing, and version control; Business value realized: improved data integrity, stability of data pipelines, and faster QA feedback.

February 2026 monthly summary for DiamondLightSource/FastCS. Delivered an attribute-driven dynamic widget generation capability by refactoring the UI widget constructors to accept an Attribute object instead of a DataType. This improves correctness and flexibility of reading/writing widget generation based on attribute metadata. No major bugs fixed this month. Impact: more robust, maintainable UI layer that supports easier addition of new attributes and UI customizations; lays groundwork for broader attribute-based UI improvements. Technologies/skills demonstrated include Python refactoring, attribute-driven design, and commit-traceable development.