Kimkim C.

Key Skills

Software

Data Annotation Tech

AWS SageMaker

LabelImg

Axiom AI

Top Subject Matter

Data analytics and dataset preparation for business intelligence

AI-assisted information classification and talent matching

Cybersecurity malware classification (AI model development)

Top Data Types

Text

Video

Document

Top Task Types

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

Data Analyst (Data annotation and collection) – XIEXIN Technology Company. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Cybersecurity, University of Adelaide (2024) and Bachelor of Engineering, Wuhan University of Engineering Science (2020). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Data Collection, Prompt + Response Writing (SFT), and Evaluation.

Labeling Experience

Malware Detection via API Sequence – Research Project

Other

Built a malware detection system using supervised machine learning and deep learning models to classify executable files from API call sequences. Collected and preprocessed malware samples and extracted dynamic API traces via sandbox analysis tooling. Improved detection performance by analyzing sequence patterns rather than relying only on static signatures. • Generated labeled training inputs from dynamic API traces. • Trained and validated ML/DL classifiers (Random Forest, LSTM). • Reduced false positives by focusing on sequence-based patterns. • Achieved malware classification accuracy near 93% based on model evaluation.

2024 - 2024

Data Engineer (Summer Intern) – Shine People Solution (AI classification integration)

OtherPrompt + Response Writing (SFT)

Integrated OpenAI APIs to classify employment histories and support talent matching workflows. Built a semantic search system with vector database integration to enable nuanced talent pool analysis across locations, experience levels, and industries. Embedded classification and search outputs into a Microsoft 365 environment for recruiter notification and feedback collection. • Implemented employment history classification using OpenAI APIs. • Engineered semantic search features for talent matching. • Automated delivery of results to recruiters via Outlook and Teams. • Designed end-to-end data flow connecting classification outputs to user feedback loops.

2024 - 2024

Data Analyst (Data annotation and collection) – XIEXIN Technology Company

OtherTextData Collection

Conducted comprehensive data collection and annotation tasks to improve dataset quality and accuracy. Communicated analysis results with business stakeholders and explained data-driven insights and market trends. Supported end-to-end preparation of data for downstream analytics and modeling workflows. • Performed data annotation activities as part of dataset enhancement. • Collected and curated data samples for improved labeling reliability. • Produced structured reporting and visualizations using BI tools. • Partnered with business teams to align labeled data with needs.

2021 - 2022

Education

Work History