Learning-Mode-AI/Learning-Mode-AI
Oct 2024 – Apr 2025
6 Months active
Languages Used
GoJavaScriptMarkdownYAML
Technical Skills
API IntegrationBackend DevelopmentContext ManagementDocumentationGo ProgrammingPrivacy Policy
Anas Khan
PROFILE
Anas Khan
Over six months, contributed to Learning-Mode-AI by building and refining backend features that enhance AI-assisted user experiences and data governance. Developed per-video AI assistant sessions and implemented context-aware question handling by integrating timestamped payloads, improving the relevance of AI responses. Strengthened privacy and compliance through comprehensive policy documentation and transparent data handling disclosures. Improved deployment reliability by configuring environment-based service management with Docker and enabling Google OAuth authentication for the browser extension. Used Go and JavaScript to deliver scalable API integrations, robust backend services, and privacy-focused infrastructure, while maintaining code quality through targeted bug fixes and infrastructure alignment.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
10Total
Bugs
2
Commits
10
Features
6
Lines of code
595
Activity Months6
Your Network
14 peopleSame Organization
@ecobee.com1
Shared Repositories
13
Work History
April 2025
2 Commits • 1 Features
Apr 1, 2025In April 2025, the Learning-Mode-AI team delivered targeted privacy policy updates to improve transparency, user trust, and regulatory alignment for Learning-Mode-AI/Learning-Mode-AI. The work consolidated policy language across two commits, added a dedicated privacy contact, and clarified that chat history is not viewed by developers and that OpenAI GPT LLMs may be used for processing. These changes reduce ambiguity, streamline user inquiries, and support ongoing data governance and compliance while preserving core processing capabilities.
2 Commits • 1 Features
Apr 1, 2025In April 2025, the Learning-Mode-AI team delivered targeted privacy policy updates to improve transparency, user trust, and regulatory alignment for Learning-Mode-AI/Learning-Mode-AI. The work consolidated policy language across two commits, added a dedicated privacy contact, and clarified that chat history is not viewed by developers and that OpenAI GPT LLMs may be used for processing. These changes reduce ambiguity, streamline user inquiries, and support ongoing data governance and compliance while preserving core processing capabilities.
April 2025
March 2025
1 Commits
Mar 1, 2025Month: 2025-03 Key features delivered: None this month. Focus was on stabilization and data-model simplification by reverting the CreatedAt timestamp addition. Major bugs fixed: Reverted the addition of CreatedAt to the User struct and its Redis handling; removed CreatedAt from user data and Redis parsing to reduce data surface and simplify the model. Commit: c7a48c65d3d11f2c2772bd5f65275e65c172ddf8. Overall impact and accomplishments: Data-model simplification reduces maintenance burden and potential runtime overhead. Improved consistency across user data and Redis parsing, enabling faster onboarding for future changes and cleaner code paths for related features. Technologies/skills demonstrated: Git-based rollback, data modeling and schema discipline, Redis integration considerations, and regression awareness during rollback.
March 2025
1 Commits
Mar 1, 2025Month: 2025-03 Key features delivered: None this month. Focus was on stabilization and data-model simplification by reverting the CreatedAt timestamp addition. Major bugs fixed: Reverted the addition of CreatedAt to the User struct and its Redis handling; removed CreatedAt from user data and Redis parsing to reduce data surface and simplify the model. Commit: c7a48c65d3d11f2c2772bd5f65275e65c172ddf8. Overall impact and accomplishments: Data-model simplification reduces maintenance burden and potential runtime overhead. Improved consistency across user data and Redis parsing, enabling faster onboarding for future changes and cleaner code paths for related features. Technologies/skills demonstrated: Git-based rollback, data modeling and schema discipline, Redis integration considerations, and regression awareness during rollback.
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025 focused on strengthening deployment reliability and user authentication for Learning-Mode-AI. Delivered two key features that improve security, configurability, and user experience, while maintaining a lean bug-fix footprint.
2 Commits • 2 Features
Jan 1, 2025January 2025 focused on strengthening deployment reliability and user authentication for Learning-Mode-AI. Delivered two key features that improve security, configurability, and user experience, while maintaining a lean bug-fix footprint.
January 2025
December 2024
2 Commits
Dec 1, 2024In December 2024, the Learning-Mode-AI repository focused on infrastructure alignment to reflect the renamed project and to stabilize the codebase for ongoing development and CI/CD workflows.
December 2024
2 Commits
Dec 1, 2024In December 2024, the Learning-Mode-AI repository focused on infrastructure alignment to reflect the renamed project and to stabilize the codebase for ongoing development and CI/CD workflows.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024: Implemented Video Context-Aware AI Question Requests by adding a timestamp field to AI question payloads, enabling correlation of user questions with precise moments in video content. This enhances context-aware responses, improves answer relevance, and supports future analytics on engagement. All work focused on the Learning-Mode-AI/Learning-Mode-AI repository; no major bugs fixed this month; next steps include analytics integration and broader feature coverage.
1 Commits • 1 Features
Nov 1, 2024November 2024: Implemented Video Context-Aware AI Question Requests by adding a timestamp field to AI question payloads, enabling correlation of user questions with precise moments in video content. This enhances context-aware responses, improves answer relevance, and supports future analytics on engagement. All work focused on the Learning-Mode-AI/Learning-Mode-AI repository; no major bugs fixed this month; next steps include analytics integration and broader feature coverage.
November 2024
October 2024
2 Commits • 2 Features
Oct 1, 2024Month: 2024-10 — Focused delivery on two high-impact features in Learning-Mode-AI/Learning-Mode-AI, with an emphasis on scalable AI-assisted user experiences and clear data governance. Delivered per-video AI assistant sessions and standardized privacy/data handling disclosures to drive user trust and regulatory compliance. No major bugs reported/fixed this month in the provided data.
October 2024
2 Commits • 2 Features
Oct 1, 2024Month: 2024-10 — Focused delivery on two high-impact features in Learning-Mode-AI/Learning-Mode-AI, with an emphasis on scalable AI-assisted user experiences and clear data governance. Delivered per-video AI assistant sessions and standardized privacy/data handling disclosures to drive user trust and regulatory compliance. No major bugs reported/fixed this month in the provided data.
Activity
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Quality Metrics
Correctness94.0%
Maintainability92.0%
Architecture93.0%
Performance94.0%
AI Usage32.0%
Skills & Technologies
Programming Languages
GoJavaScriptMarkdownYAML
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentBrowser Extension DevelopmentChrome Storage APIContext ManagementData HandlingDevOpsDockerDocumentationFetch APIGo DevelopmentGo ProgrammingGoogle APIOAuth
Repositories Contributed To
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