
Worked on the Dallinger/Dallinger repository to deliver a feature enabling workspace and project scoping for Prolific study configurations. Developed configuration-driven workflows in Python and JSON, introducing pre-launch checks and robust error handling to reduce misconfiguration risks in multi-workspace deployments. Focused on backend development and API integration, the solution allows users to specify workspace and project names directly in configuration files, improving safety and scalability for orchestrating studies across multiple teams. By strengthening validation and error handling, the work supports faster onboarding and more reliable experiment launches, demonstrating attention to configuration management and command-line interface development within research workflows.
Monthly summary for 2024-12: Key features delivered: Dallinger Prolific configuration enabling workspace and project scoping with pre-launch checks to scope Prolific studies and improve safety of multi-workspace deployments. Major bugs fixed: strengthened Prolific configuration validation and error handling, reducing misconfiguration risk in multi-workspace setups. Overall impact: safer, more scalable study orchestration across Prolific workflows, leading to faster onboarding for new teams and more reliable experiment launches. Technologies/skills demonstrated: configuration-driven workflows, robust error handling, multi-workspace management, Prolific integration, and commit-level traceability (commit 04859a7e9e6b6fbed23873dc5c93bdda9156020c).
Monthly summary for 2024-12: Key features delivered: Dallinger Prolific configuration enabling workspace and project scoping with pre-launch checks to scope Prolific studies and improve safety of multi-workspace deployments. Major bugs fixed: strengthened Prolific configuration validation and error handling, reducing misconfiguration risk in multi-workspace setups. Overall impact: safer, more scalable study orchestration across Prolific workflows, leading to faster onboarding for new teams and more reliable experiment launches. Technologies/skills demonstrated: configuration-driven workflows, robust error handling, multi-workspace management, Prolific integration, and commit-level traceability (commit 04859a7e9e6b6fbed23873dc5c93bdda9156020c).

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