google-ai-edge/mediapipe-samples
Feb 2025 – May 2025
3 Months active
Languages Used
MarkdownSwiftXMLCSS
Technical Skills
DocumentationEntitlements ManagementLLM IntegrationMediaPipeMemory ManagementSwift
Prianka Liz Kariat
PROFILE
Prianka Liz Kariat
Prianka Kariat contributed to the google-ai-edge/mediapipe-samples repository by building and refining iOS LLM inference features, focusing on session-based model management, authentication, and on-device performance. She implemented OAuth-based Hugging Face integration for secure model downloads, expanded model support with structured metadata, and introduced DeepSeek LLM and token feedback UI to enhance user experience. Using Swift, SwiftUI, and CSS, Prianka addressed memory management and UI responsiveness, optimizing for iOS 18+ stability. Her work included code refactoring for maintainability, improved error handling, and streamlined prompt usage, resulting in a more reliable, scalable, and developer-friendly mobile LLM inference platform.
Overall Statistics
Feature vs Bugs
79%Features
Repository Contributions
25Total
Bugs
3
Commits
25
Features
11
Lines of code
5,107
Activity Months3
Your Network
23 peopleSame Organization
@codeandtheory.com2
Work History
May 2025
6 Commits • 1 Features
May 1, 2025May 2025 highlights for google-ai-edge/mediapipe-samples: Expanded iOS inference support with a new ModelMetadata structure and broader model suite (Gemma 2/3 and more), including download URLs, licenses, and inference parameters; refactored Model.swift for clarity and maintainability; streamlined prompt usage to leverage model capabilities. Implemented stability and memory optimizations for iOS 18+: ensured models load only when downloads are ready and removed larger models to reduce memory usage, addressing bottom sheet behavior issues on memory-constrained devices. Result: broader model coverage, more reliable in-production inference on iOS devices, and reduced crash opportunities due to memory pressure. This work enhances developer productivity through cleaner code and clearer model metadata, enabling faster iteration and safer rollout.
6 Commits • 1 Features
May 1, 2025May 2025 highlights for google-ai-edge/mediapipe-samples: Expanded iOS inference support with a new ModelMetadata structure and broader model suite (Gemma 2/3 and more), including download URLs, licenses, and inference parameters; refactored Model.swift for clarity and maintainability; streamlined prompt usage to leverage model capabilities. Implemented stability and memory optimizations for iOS 18+: ensured models load only when downloads are ready and removed larger models to reduce memory usage, addressing bottom sheet behavior issues on memory-constrained devices. Result: broader model coverage, more reliable in-production inference on iOS devices, and reduced crash opportunities due to memory pressure. This work enhances developer productivity through cleaner code and clearer model metadata, enabling faster iteration and safer rollout.
May 2025
April 2025
10 Commits • 5 Features
Apr 1, 2025April 2025 monthly summary for google-ai-edge/mediapipe-samples: Delivered user authentication with model download via Hugging Face integration, added DeepSeek LLM support with streaming UX improvements, refreshed UI theme, performed comprehensive code cleanup and refactoring, and introduced On-Device LLM session management with token feedback. These efforts improved model access, UX reliability, maintainability, and on-device performance tuning, aligning with business goals of enabling seamless model management, reducing user errors, and enabling on-device inference options.
April 2025
10 Commits • 5 Features
Apr 1, 2025April 2025 monthly summary for google-ai-edge/mediapipe-samples: Delivered user authentication with model download via Hugging Face integration, added DeepSeek LLM support with streaming UX improvements, refreshed UI theme, performed comprehensive code cleanup and refactoring, and introduced On-Device LLM session management with token feedback. These efforts improved model access, UX reliability, maintainability, and on-device performance tuning, aligning with business goals of enabling seamless model management, reducing user errors, and enabling on-device inference options.
February 2025
9 Commits • 5 Features
Feb 1, 2025February 2025 performance highlights for google-ai-edge/mediapipe-samples: Delivered session-based iOS LLM inference, improved error handling and UI responsiveness, fixed stability issues, and raised code quality to support maintainability and scale. Key improvements include switching to the Sessions API for iOS LLM inference; robust ConversationViewModel with proper partial-response handling and streaming errors; main-thread UI scrolling for ConversationScreen; a memory-leak fix during navigation dismissal; and focused code cleanup and entitlements revert to maintain compliance and reliability. These enhancements improve user experience, reliability, and developer velocity, demonstrating strong Swift/iOS concurrency, MVVM patterns, memory management, and code hygiene.
9 Commits • 5 Features
Feb 1, 2025February 2025 performance highlights for google-ai-edge/mediapipe-samples: Delivered session-based iOS LLM inference, improved error handling and UI responsiveness, fixed stability issues, and raised code quality to support maintainability and scale. Key improvements include switching to the Sessions API for iOS LLM inference; robust ConversationViewModel with proper partial-response handling and streaming errors; main-thread UI scrolling for ConversationScreen; a memory-leak fix during navigation dismissal; and focused code cleanup and entitlements revert to maintain compliance and reliability. These enhancements improve user experience, reliability, and developer velocity, demonstrating strong Swift/iOS concurrency, MVVM patterns, memory management, and code hygiene.
February 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture85.2%
Performance84.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSMarkdownSwiftXML
Technical Skills
Asset ManagementAuthenticationCSSDocumentationEntitlements ManagementError HandlingFront End DevelopmentKeychain ServicesLLM InferenceLLM IntegrationMachine LearningMediaPipeMemory ManagementMobile DevelopmentModel Integration
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