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Kim S. Swift, UIKit and Video Processing Platforms

My name is Kim S. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Spring Framework, Swift, UIKit, SwiftUI, HealthKit, etc.. I hold a degree in Bachelor of Applied Science (BASc). Some of the notable projects I’ve worked on include: Desktop App for Real-time Ambient Music Streaming, AI Chat iOS App(WebView Packaging), Real-Time Video Processing with AI, BLE Project, SwiftScissor(SwiftUI-based Image Cropping Library), etc.. I am based in Chungju, South Korea. I've successfully completed 8 projects while developing at Softaims.

I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.

My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.

Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today’s highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.

Main technologies

  • Swift, UIKit and Video Processing Platforms

    2 years

  • Spring Framework

    1 Year

  • Swift

    1 Year

  • UIKit

    1 Year

Additional skills

  • Spring Framework
  • Swift
  • UIKit
  • SwiftUI
  • HealthKit
  • RxSwift
  • Websockets
  • Video Processing
  • Core Location
  • AV Foundation
  • Push Notifications
  • In-App Purchases

Direct hire

Potentially possible

Previous Company

Woowa Brothers

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Experience Highlights

Desktop App for Real-time Ambient Music Streaming

The app curates a collection of ambient and instrumental tracks, organized by moods such as focus, relaxation, meditation, and creativity. It automatically generates or recommends personalized music libraries based on time of day, context, and user preferences, enabling an immersive soundscape without the need for constant searching or manual selection.

AI Chat iOS App(WebView Packaging)

Developed AI voice chat iOS app with sophisticated hybrid web-native architecture. Built robust WebView-JavaScript bridge for seamless communication, implemented advanced STT/TTS with real-time UI feedback and microphone state management, integrated StoreKit2 for secure in-app purchase flows, and created persistent device identification using Keychain services ensuring user continuity across app reinstalls. Optimized performance with Chrome User-Agent configuration, efficient memory management, and MVVM architecture with SwiftUI animations.

Real-Time Video Processing with AI

A global iOS voice guidance app for the visually impaired. Features: - Released globally with support for 33 languages. - Supports language translation by region - Implemented video analysis using Gemini AI - Integrated in-app purchase (StoreKit2) and Apple Sign-In - Built CI/CD pipelines using Xcode Cloud - Developed real-time data streaming using WebSocket communication - Modular architecture with Clean Architecture, MVVM, DI, Delegate & Coordinator - Load balancing via NGINX across server and cloud environments

BLE Project

1. A BLE central manager was implemented to scan nearby devices, explore multiple characteristics, and support adaptive data transmission. 2. The app collects real-time location, heading, and 3-axis attitude data using the Core Location and Core Motion frameworks, then serializes it into JSON. 3. Through this project, I deepened my understanding of the BLE protocol.

SwiftScissor(SwiftUI-based Image Cropping Library)

SwiftScissor is an open-source SwiftUI library that enables intuitive image cropping without relying on UIKit. The goal was to create a lightweight, reusable component that seamlessly integrates into modern SwiftUI-based iOS apps. I implemented gesture handling and cropping logic using native SwiftUI tools, and distributed it via Swift Package Manager to support modular architecture. The library reduces UIKit dependency and increases SwiftUI-native development efficiency.

Education

  • Korea National University of Transportation

    Bachelor of Applied Science (BASc) in Software Engineering

    2014-01-01-2021-01-01

Languages

  • English
  • Korean

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