I develop and train machine learning models using tools such as PyTorch and TensorFlow. In my current role, I focus on training ML models for time series predictions and computer vision. I specialize in MLOps, automating machine learning training and deployment pipelines with tools like Docker and MLflow. I set up and manage model tracking servers, monitor model registries, and establish devcontainers for efficient onboarding and collaboration, utilizing MLOps practices to optimize workflows. I also have significant experience in iOS development using Swift and Objective-C. In my free time, I'm exploring the Mojo Programming Language to expand my skills.
Machine Learning Engineer | Senior iOS Engineer
- Seoul, South Korea
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22:40
(UTC +09:00) - in/mussacharles
Highlights
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SwifterSwift/SwifterSwift
SwifterSwift/SwifterSwift PublicA handy collection of more than 500 native Swift extensions to boost your productivity.
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TextureGroup/Texture
TextureGroup/Texture PublicSmooth asynchronous user interfaces for iOS apps.
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maths-for-fast-algorithms
maths-for-fast-algorithms PublicDetailed explanations and implementations of various maths concepts for writing high performance code/algorithms backed with Unit tests.
Swift 4
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XCFrameworkScripts
XCFrameworkScripts PublicUseful Scripts used to build XCFramework and links to learning materials.
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MacDevSetupGuide
MacDevSetupGuide PublicMacOS configurations guidelines for high productivity as iOS/MacOS/iPadOS Dev.
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