mozilla/experimenter
Apr 2025 – Jul 2026
4 Months active
Languages Used
JSONPythonShellHTMLJavaScript
Technical Skills
API IntegrationBackend DevelopmentGitHub ActionsPythonTestingHTML
Rana Al-Khulaidi
PROFILE
Rana Al-khulaidi
Contributed to the mozilla/experimenter repository by delivering features and improvements across automation, user experience, and CI stability. Developed a Python-based prototype to automate experiment workflows, integrating GitHub Actions for end-to-end testing and artifact retrieval. Enhanced metric details UX using JavaScript and HTML, surfacing error context and improving data transparency for users. Implemented sticky enrollment targeting and timestamp-based data fetching to ensure accurate, up-to-date experiment data. Added notification subscriptions and a QA rollout card to streamline engagement and quality assurance. Addressed CI reliability by refining shell scripting for non-interactive installs, and polished UI elements to align with Figma design specifications.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
6
Lines of code
1,922
Activity Months4
Work History
July 2026
1 Commits • 1 Features
Jul 1, 2026July 2026: Delivered UI polish in mozilla/experimenter by aligning the Sidebar History and Help Links with the approved Figma design, resolving a UI alignment discrepancy, and reinforcing design-system conformance. The change improves readability, spacing, and overall user experience, enabling consistent navigation cues across the app.
1 Commits • 1 Features
Jul 1, 2026July 2026: Delivered UI polish in mozilla/experimenter by aligning the Sidebar History and Help Links with the approved Figma design, resolving a UI alignment discrepancy, and reinforcing design-system conformance. The change improves readability, spacing, and overall user experience, enabling consistent navigation cues across the app.
July 2026
June 2026
6 Commits • 3 Features
Jun 1, 2026June 2026 mozilla/experimenter monthly summary: Focused on business value through feature delivery, data freshness, and CI stability. Key features delivered include Experiment Targeting and Data Fetch Improvements with sticky enrollment using active_experiments slug format and timestamp-based data fetch with last_loaded tracking; Experiment Notification Subscriptions enabling bell-driven engagement; QA Rollout Quality Assurance Card for rollout status and notes; and CI Test Automation Stability by making xz-utils install non-interactive. Major fixes included stabilizing test runs by removing interactive prompts. This work is supported by commits 0f086b9a6260ed86c95235ddafb8a9ec1561b248, e07250ac3633557e281c2a99be8bc74611ee0bce, 0aa046e54372bdd931413c4ac09d3dd5434ac525, c2bbdf93dc2cb4bd6f7de0de48f2d121bb61cdb8, 32513425d5acc294ecfc3e79a08fdb102310ee9e, 28963c40a471004954c54dfc734c811779acd2bf.
June 2026
6 Commits • 3 Features
Jun 1, 2026June 2026 mozilla/experimenter monthly summary: Focused on business value through feature delivery, data freshness, and CI stability. Key features delivered include Experiment Targeting and Data Fetch Improvements with sticky enrollment using active_experiments slug format and timestamp-based data fetch with last_loaded tracking; Experiment Notification Subscriptions enabling bell-driven engagement; QA Rollout Quality Assurance Card for rollout status and notes; and CI Test Automation Stability by making xz-utils install non-interactive. Major fixes included stabilizing test runs by removing interactive prompts. This work is supported by commits 0f086b9a6260ed86c95235ddafb8a9ec1561b248, e07250ac3633557e281c2a99be8bc74611ee0bce, 0aa046e54372bdd931413c4ac09d3dd5434ac525, c2bbdf93dc2cb4bd6f7de0de48f2d121bb61cdb8, 32513425d5acc294ecfc3e79a08fdb102310ee9e, 28963c40a471004954c54dfc734c811779acd2bf.
May 2026
2 Commits • 1 Features
May 1, 2026May 2026: Delivered key UX and reliability improvements for metric details in the mozilla/experimenter project, focusing on data transparency and faster issue diagnosis. Implemented metric details UX enhancements to show metric descriptions and context when results are missing, and surfaced metric-specific errors (type, timestamp, message) directly in the details modal. These changes were implemented on Nimbus with two co-authored commits, improving user guidance and reducing ambiguity in metric data.
2 Commits • 1 Features
May 1, 2026May 2026: Delivered key UX and reliability improvements for metric details in the mozilla/experimenter project, focusing on data transparency and faster issue diagnosis. Implemented metric details UX enhancements to show metric descriptions and context when results are missing, and surfaced metric-specific errors (type, timestamp, message) directly in the details modal. These changes were implemented on Nimbus with two co-authored commits, improving user guidance and reducing ambiguity in metric data.
May 2026
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Key milestone achieved in mozilla/experimenter with the Klaatu client prototype for automated experiment workflows. This prototype enables end-to-end automation of experiment testing by programmatically dispatching GitHub Actions workflows, polling run IDs, monitoring completion, and downloading/extracting artifacts to retrieve generated reports. This lays the groundwork for scalable, data-driven experimentation and faster feedback cycles, aligning with product goals for automated validation and reporting.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Key milestone achieved in mozilla/experimenter with the Klaatu client prototype for automated experiment workflows. This prototype enables end-to-end automation of experiment testing by programmatically dispatching GitHub Actions workflows, polling run IDs, monitoring completion, and downloading/extracting artifacts to retrieve generated reports. This lays the groundwork for scalable, data-driven experimentation and faster feedback cycles, aligning with product goals for automated validation and reporting.
Activity
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Quality Metrics
Correctness93.0%
Maintainability82.0%
Architecture82.0%
Performance84.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
HTMLJSONJavaScriptPythonShell
Technical Skills
API IntegrationAutomationBack End DevelopmentBackend DevelopmentCSSCeleryDevOpsDjangoFront End DevelopmentGitHub ActionsHTMLHTML/CSSJavaScriptPythonShell Scripting
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