pupil-labs/pupil-docs
Nov 2024 – Feb 2026
7 Months active
Languages Used
JavaScriptMarkdownHTMLTypeScriptJSONCSS
Technical Skills
AI IntegrationDocumentationEye Tracking AnalysisTechnical WritingCloud APIsSpeech Recognition
nadje
PROFILE
Nadje
Nadia Parask developed and maintained advanced documentation and analytics features for the pupil-labs/pupil-docs repository, focusing on AI-assisted eye tracking, real-time data capture, and content management. She implemented integrations with OpenAI Whisper for automated audio event annotation, designed plugins for gaze and blink visualization, and enhanced Neon Player with timestamped annotation exports using JavaScript and TypeScript. Her work included refining taxonomy and UI with Vue.js, improving onboarding and discoverability through structured tagging and filter enhancements. By standardizing asset naming and updating technical guides, Nadia ensured scalable, maintainable workflows that improved data quality, user experience, and the adoption of AI-driven analytics.
Overall Statistics
Feature vs Bugs
93%Features
Repository Contributions
36Total
Bugs
1
Commits
36
Features
13
Lines of code
852
Activity Months7
Your Network
13 peopleShared Repositories
13
Work History
February 2026
18 Commits • 7 Features
Feb 1, 2026February 2026 highlights: Delivered core data capture and export capabilities for gaze analytics in pupil-docs, including Surface Tracking Plugin with marker detection, surface definitions, and gaze/fixation export formats; Neon Player enhancements with timestamped annotations, real-time event loading, and CSV import/export; Blink Visualization Plugin for blink timelines and CSV export with webp support; Eyestate naming update; clock offset guidance for real-time event alignment; UI/Documentation improvements and deprecation of the Head Pose Tracker to reduce maintenance. These changes deliver end-to-end data capture, richer analytics visualization, and improved interoperability across exports (CSV/LSL), with ongoing UX and documentation improvements.
18 Commits • 7 Features
Feb 1, 2026February 2026 highlights: Delivered core data capture and export capabilities for gaze analytics in pupil-docs, including Surface Tracking Plugin with marker detection, surface definitions, and gaze/fixation export formats; Neon Player enhancements with timestamped annotations, real-time event loading, and CSV import/export; Blink Visualization Plugin for blink timelines and CSV export with webp support; Eyestate naming update; clock offset guidance for real-time event alignment; UI/Documentation improvements and deprecation of the Head Pose Tracker to reduce maintenance. These changes deliver end-to-end data capture, richer analytics visualization, and improved interoperability across exports (CSV/LSL), with ongoing UX and documentation improvements.
February 2026
January 2026
7 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for pupil-labs/pupil-docs: Delivered Content Tagging and Filter Enhancements to improve content discoverability and taxonomy alignment across documentation and UI. Implemented comprehensive tag updates (Neon, Multimodal Data), reordered filters to prioritize product-related tags, reclassified categories under Data Processing & Workflows, and removed the deprecated Pupil Cloud tag from AI Vision Assistant filters. This work was validated across articles and UI components using updated cards.json and cards metadata, setting a scalable foundation for future taxonomy maintenance and improved search relevance.
January 2026
7 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for pupil-labs/pupil-docs: Delivered Content Tagging and Filter Enhancements to improve content discoverability and taxonomy alignment across documentation and UI. Implemented comprehensive tag updates (Neon, Multimodal Data), reordered filters to prioritize product-related tags, reclassified categories under Data Processing & Workflows, and removed the deprecated Pupil Cloud tag from AI Vision Assistant filters. This work was validated across articles and UI components using updated cards.json and cards metadata, setting a scalable foundation for future taxonomy maintenance and improved search relevance.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 (2025-11) monthly summary for pupil-labs/pupil-docs. Key features delivered: - Documentation: Video assets naming conventions for clarity and organization. Updated documentation to reflect new naming conventions for video assets, improving clarity and organization. Commit: 2f97c13bb1cc8abbec798fc8308f3fd4b6bef914. Major bugs fixed: - None reported for this period. Overall impact and accomplishments: - Standardized naming conventions for video assets within the docs, improving asset discoverability, onboarding, and content production efficiency. This change supports consistent asset labeling across workflows and reduces review cycles. Technologies/skills demonstrated: - Documentation best practices, information architecture, version control (commit tracking), and collaboration within the pupil-docs repository.
1 Commits • 1 Features
Nov 1, 2025November 2025 (2025-11) monthly summary for pupil-labs/pupil-docs. Key features delivered: - Documentation: Video assets naming conventions for clarity and organization. Updated documentation to reflect new naming conventions for video assets, improving clarity and organization. Commit: 2f97c13bb1cc8abbec798fc8308f3fd4b6bef914. Major bugs fixed: - None reported for this period. Overall impact and accomplishments: - Standardized naming conventions for video assets within the docs, improving asset discoverability, onboarding, and content production efficiency. This change supports consistent asset labeling across workflows and reduces review cycles. Technologies/skills demonstrated: - Documentation best practices, information architecture, version control (commit tracking), and collaboration within the pupil-docs repository.
November 2025
October 2025
5 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for pupil-docs: Focused on enabling Dynamic AOI tracking with SAM2 through comprehensive documentation and site updates, plus targeted UI/content fixes to improve navigation and onboarding. Key work included a new alpha-lab tutorial, navigation title simplification, corrected navigation links, updated YouTube video reference, and a landing page visual refresh. These changes enhance product adoption by improving content accuracy, discoverability, and user experience while maintaining high documentation quality.
October 2025
5 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for pupil-docs: Focused on enabling Dynamic AOI tracking with SAM2 through comprehensive documentation and site updates, plus targeted UI/content fixes to improve navigation and onboarding. Key work included a new alpha-lab tutorial, navigation title simplification, corrected navigation links, updated YouTube video reference, and a landing page visual refresh. These changes enhance product adoption by improving content accuracy, discoverability, and user experience while maintaining high documentation quality.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary: Delivered a new PERCLOS Real-time Eyelid Dynamics Tracking Documentation and Learning Resources for pupil-docs. Implemented an Alpha Lab article detailing real-time eyelid dynamics tracking using PERCLOS and Neon; included a new markdown article, social meta tags, a YouTube embed, and configuration updates to link the article. Also updated the PERCLOS documentation by replacing the embedded YouTube video with a newer version to provide up-to-date learning content. These changes improve onboarding and ongoing education for users and contribute to higher engagement and ease of access to cutting-edge PERCLOS resources.
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary: Delivered a new PERCLOS Real-time Eyelid Dynamics Tracking Documentation and Learning Resources for pupil-docs. Implemented an Alpha Lab article detailing real-time eyelid dynamics tracking using PERCLOS and Neon; included a new markdown article, social meta tags, a YouTube embed, and configuration updates to link the article. Also updated the PERCLOS documentation by replacing the embedded YouTube video with a newer version to provide up-to-date learning content. These changes improve onboarding and ongoing education for users and contribute to higher engagement and ease of access to cutting-edge PERCLOS resources.
June 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for pupil-labs/pupil-docs: Implemented automated audio-based event annotation integration that links OpenAI Whisper-detected spoken events with eye-tracking data in Pupil Cloud, exporting a timestamped CSV of detected words and creating corresponding events in Pupil Cloud for streamlined analysis. Also performed targeted editorial cleanup to improve documentation clarity by removing an outdated sentence and fixing a trailing newline. These efforts reduce data processing friction and improve data quality for researcher workflows.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for pupil-labs/pupil-docs: Implemented automated audio-based event annotation integration that links OpenAI Whisper-detected spoken events with eye-tracking data in Pupil Cloud, exporting a timestamped CSV of detected words and creating corresponding events in Pupil Cloud for streamlined analysis. Also performed targeted editorial cleanup to improve documentation clarity by removing an outdated sentence and fixing a trailing newline. These efforts reduce data processing friction and improve data quality for researcher workflows.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024: Delivered Eye Tracking Automation Documentation (GPT-4o) in pupil-docs, detailing automation of event annotations in eye-tracking analysis via Pupil Cloud and GPT-4o. The page covers benefits, setup, and prompts to improve detection accuracy, with clear guidance to streamline workflows and reduce manual effort. The work supports faster onboarding and broader adoption of AI-assisted analytics across the team. This release demonstrates a strong focus on practical, value-driven documentation that enables engineers and data scientists to leverage AI-assisted eye-tracking workflows.
1 Commits • 1 Features
Nov 1, 2024November 2024: Delivered Eye Tracking Automation Documentation (GPT-4o) in pupil-docs, detailing automation of event annotations in eye-tracking analysis via Pupil Cloud and GPT-4o. The page covers benefits, setup, and prompts to improve detection accuracy, with clear guidance to streamline workflows and reduce manual effort. The work supports faster onboarding and broader adoption of AI-assisted analytics across the team. This release demonstrates a strong focus on practical, value-driven documentation that enables engineers and data scientists to leverage AI-assisted eye-tracking workflows.
November 2024
Activity
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Quality Metrics
Correctness99.4%
Maintainability98.8%
Architecture98.8%
Performance97.8%
AI Usage26.2%
Skills & Technologies
Programming Languages
CSSHTMLJSONJavaScriptMarkdownTypeScript
Technical Skills
AI IntegrationAI/ML IntegrationAPI integrationCSV handlingCloud APIsContent CreationDocumentationEye TrackingEye Tracking AnalysisSpeech RecognitionTechnical WritingUI/UX designVue.jsWeb Developmentconfiguration management
Repositories Contributed To
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