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Kibae Kim

Kibae Kim

Full Stack Software Developer - Web Applications

CANADA flag
Vancouver, Canada
$50.00/hrIntermediateInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

TextText

Top Label Types

Computer Programming Coding
Data Collection
Object Detection
Text Generation
Text Summarization

Freelancer Overview

I am a full stack software developer with over 4 years of experience building scalable web applications and integrating AI solutions. My background includes designing intelligent systems that leverage APIs such as Anthropic and Amazon Bedrock to automate and optimize task scheduling, demonstrating my ability to work with AI-driven data processing and structured data workflows. I have hands-on experience with data handling, backend development, and cloud-native architectures using tools like AWS, Node.js, and MongoDB, which are essential for managing and preparing high-quality training data for AI models. My strong collaboration skills, attention to detail, and experience in delivering end-to-end solutions position me well for roles focused on data labeling, annotation, and AI training data pipelines.

IntermediateEnglishKoreanFrench

Labeling Experience

Data Annotator

Internal Proprietary ToolingTextBounding BoxText Generation
Contributed to a large-scale data labeling initiative to improve machine learning model accuracy for a natural language processing application. Annotated and classified 2,000+ text samples per week according to detailed guidelines, including sentiment analysis, intent recognition, and entity tagging. Maintained a consistency score above 95% across quality audits. Collaborated with the QA team to resolve edge cases and refine labeling criteria. Documented ambiguous examples and proposed guideline updates to improve team-wide alignment.

Contributed to a large-scale data labeling initiative to improve machine learning model accuracy for a natural language processing application. Annotated and classified 2,000+ text samples per week according to detailed guidelines, including sentiment analysis, intent recognition, and entity tagging. Maintained a consistency score above 95% across quality audits. Collaborated with the QA team to resolve edge cases and refine labeling criteria. Documented ambiguous examples and proposed guideline updates to improve team-wide alignment.

2025 - 2025

Education

U

University of Victoria

Bachelor of Science, Computer Science

Bachelor of Science
2016 - 2020

Work History

T

Tooli

Full Stack Software Developer

Vancouver
2021 - Present
J

Jeil Auto

Freelance Software Developer

Coquitlam
2020 - 2021