
Mori developed cross-repository time-to-first-token telemetry for LaunchDarkly’s go-server-sdk, js-core, and dotnet-core, enabling precise performance monitoring and SLA insights for streamed AI token generation. By designing and integrating instrumentation in Go, TypeScript, and C#, Mori extended existing interfaces, added new metrics, and implemented unit tests to ensure robust tracking and observability. In the ldcli repository, Mori refactored the dev-server UI by renaming components and updating imports, improving codebase clarity and onboarding. The work demonstrated depth in backend development, CI/CD, and file management, resulting in more actionable metrics, stable builds, and a cleaner development experience for future enhancements.

August 2025 monthly summary for launchdarkly/ldcli focusing on codebase hygiene and dev-server reliability. Delivered a critical refactor to align component naming with its purpose, updated imports to reflect new paths, and strengthened repository safeguards to prevent accidental commits. These changes reduce onboarding friction for new contributors, improve developer experience, and lay groundwork for future dev-server enhancements.
August 2025 monthly summary for launchdarkly/ldcli focusing on codebase hygiene and dev-server reliability. Delivered a critical refactor to align component naming with its purpose, updated imports to reflect new paths, and strengthened repository safeguards to prevent accidental commits. These changes reduce onboarding friction for new contributors, improve developer experience, and lay groundwork for future dev-server enhancements.
January 2025 performance summary: Implemented cross-repo time-to-first-token telemetry across Go, JS, and .NET SDKs to enable performance monitoring and SLA insights for streamed AI token generation. Key features delivered include timeToFirstToken measurements in Tracker (Go), LDAIConfigTracker (JS), and LdAiConfigTracker (C#), with corresponding metrics integration, interfaces, unit tests, and CI updates. No major bugs fixed this month; stability improvements focused on CI and telemetry stability. Overall impact: provides actionable visibility into token-generation latency, enabling targeted optimizations, capacity planning, and cost management across services. Technologies demonstrated: instrumentation design, telemetry integration, interface extension, unit testing, and CI workflow hardening.
January 2025 performance summary: Implemented cross-repo time-to-first-token telemetry across Go, JS, and .NET SDKs to enable performance monitoring and SLA insights for streamed AI token generation. Key features delivered include timeToFirstToken measurements in Tracker (Go), LDAIConfigTracker (JS), and LdAiConfigTracker (C#), with corresponding metrics integration, interfaces, unit tests, and CI updates. No major bugs fixed this month; stability improvements focused on CI and telemetry stability. Overall impact: provides actionable visibility into token-generation latency, enabling targeted optimizations, capacity planning, and cost management across services. Technologies demonstrated: instrumentation design, telemetry integration, interface extension, unit testing, and CI workflow hardening.
Overview of all repositories you've contributed to across your timeline