pupil-labs/pupil-docs
Nov 2024 – Oct 2025
4 Months active
Languages Used
JavaScriptMarkdownHTMLTypeScript
Technical Skills
AI IntegrationDocumentationEye Tracking AnalysisTechnical WritingCloud APIsSpeech Recognition
nadje
PROFILE
Nadje
Nadia Parask developed and documented advanced AI-driven features for the pupil-labs/pupil-docs repository, focusing on eye tracking and real-time analytics. She integrated OpenAI Whisper for automated audio event annotation, aligning spoken word detection with eye-tracking data to streamline research workflows. Using TypeScript, JavaScript, and Markdown, Nadia authored technical guides and tutorials that enabled engineers to automate event annotation and adopt new features like Dynamic AOI tracking with SAM2 and PERCLOS eyelid dynamics analysis. Her work emphasized clear onboarding resources, practical AI/ML integration, and continuous documentation updates, resulting in improved data quality, workflow efficiency, and broader adoption of AI-assisted analytics.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
4
Lines of code
385
Activity Months4
Your Network
13 people
Work History
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.
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
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.
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.
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.
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
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.
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.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance96.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
HTMLJavaScriptMarkdownTypeScript
Technical Skills
AI IntegrationAI/ML IntegrationCloud APIsContent CreationDocumentationEye TrackingEye Tracking AnalysisSpeech RecognitionTechnical WritingWeb Development
Repositories Contributed To
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