I contributed several enhancements aimed at improving efficiency and usability of alchemiscale. My work on the KeyedChain implementation resulted in a 97% reduction in on-disk storage size (PR#227, PR#217, PR#329) for AlchemicalNetworks. I improved server-side performance by enabling direct pushing (PR#395) and pulling (PR#408) of KeyedChains into the Neo4j database. For users, these combined effects reduced multi-hour operations to mere seconds.
I optimized Task handling (PR#249, PR#244, PR#250) and delivered new features enabling execution automation. I designed and implemented task restart policies (Proposal, PR#280, PR#286), which allows automatic restarts after systemic failure modes, such as hardware failures. I designed and implemented a system for the strategic execution of alchemical transformations in the spin-off project stratocaster. To further minimize the need for manual intervention, I designed and implemented (PR#424) a custom autoscaling framework (PR#424), allowing platform-dependent implementations (alchemiscale-k8s) to query pending workloads and scale accordingly.
As part of my work on gufe, I upstreamed the KeyedChain data-structure (PR#286) originally implemented in alchemiscale, providing its significantly reduced footprint and topology (PR#634) to downstream packages. Furthermore, I added support for MessagePack serialization of GufeTokenizable objects (PR#492), providing a binary and more compact representation compared to the de-facto JSON serialization format.
To minimize execution failure risk of Protocols, I implemented settings type enforcement (PR#461) as well as a pathway for downstream users to define Protocol validation methods (PR#502). I added the AlchemicalArchive data-structure (PR#687), providing a stable format for exporting AlchemicalNetworks and their transformation results.