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
-
13:44
(UTC +09:00) - in/mussacharles
Highlights
- Pro
Pinned Loading
-
SwifterSwift/SwifterSwift
SwifterSwift/SwifterSwift PublicA handy collection of more than 500 native Swift extensions to boost your productivity.
-
TextureGroup/Texture
TextureGroup/Texture PublicSmooth asynchronous user interfaces for iOS apps.
-
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
-
-
XCFrameworkScripts
XCFrameworkScripts PublicUseful Scripts used to build XCFramework and links to learning materials.
-
MacDevSetupGuide
MacDevSetupGuide PublicMacOS configurations guidelines for high productivity as iOS/MacOS/iPadOS Dev.
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.