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IAmAKiwi

PROFILE

Iamakiwi

Jackson Shields enhanced the Purdue-Artificial-Intelligence-in-Music/Evaluator-code repository by developing per-frame video analysis utilities for offline evaluation workflows. He implemented getVideoAnnotations and getVideoBitmaps functions in Kotlin, enabling extraction of detection results and timestamped bitmaps from video frames. To address scalability and performance, Jackson introduced asynchronous, multi-threaded processing using Kotlin Coroutines and FFmpegKit, allowing configurable concurrency and efficient frame iteration based on FPS. His work focused on improving data flow and resource management for non-live video analysis, with careful documentation of memory caveats. This feature-rich update demonstrated depth in Android development, concurrency, and machine learning integration for video processing tasks.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
1
Lines of code
275
Activity Months1

Work History

September 2025

2 Commits • 1 Features

Sep 1, 2025

Month: 2025-09 — Focused on non-live video analysis enhancements and concurrency improvements in Purdue-Artificial-Intelligence-in-Music/Evaluator-code to enable richer offline evaluation and scalable processing.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

JavaKotlin

Technical Skills

Android DevelopmentConcurrencyFFmpegKitKotlin CoroutinesMachine Learning IntegrationVideo Processing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Purdue-Artificial-Intelligence-in-Music/Evaluator-code

Sep 2025 Sep 2025
1 Month active

Languages Used

JavaKotlin

Technical Skills

Android DevelopmentConcurrencyFFmpegKitKotlin CoroutinesMachine Learning IntegrationVideo Processing

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