Chiu C.

Key Skills

Software

Other

Top Subject Matter

eKYC Document Fraud Detection

Identity Document Data Extraction and Verification

Document Landmark Detection (Computer Vision)

Top Data Types

Image

Document

Text

Top Task Types

Object Detection

Entity (NER) Classification

Point/Key Point

Freelancer Overview

Image data labeling and AI training for moiré pattern detection (AI Engineer Intern). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Universiti Teknologi Malaysia Melaka (UTeM) (2026) and Science Stream (STPM), SMK Sultan Ismail (2022). AI-training focus includes data types such as Image and Document and labeling workflows including Object Detection, Entity (NER) Classification, and Point.

Labeling Experience

Landmark/key point image annotation for document authentication (AI Engineer Intern)

OtherImagePoint/Key Point

I developed a YOLOv11-based landmark detection model to localize security features and critical fields on document images. The work involved custom key point annotation of eKYC datasets followed by iterative model evaluation. This enabled automated region extraction for subsequent document verification workflows. • Annotated key landmarks and reference points on identity document images • Labeled regions of interest for automated alignment and extraction • Benchmarked key point detection accuracy using labeled datasets • Created annotation documentation for reproducibility and quality control

2025 - 2026

Document entity annotation and validation with LLM workflows (AI Engineer Intern)

OtherDocumentEntity (NER) Classification

I implemented Large Language Models to extract and validate structured identity information from eKYC documents. The work included designing automated validation and annotation workflows for variable document types. I ensured data accuracy and compliance for multinational identity data labeling and extraction use cases. • Labeled fields and entities in government-issued identity documents • Defined validation rules and expected entity patterns for annotation • Conducted quality control on labeled and extracted document data • Supported creation of annotation guidelines for document NER classification

2025 - 2026

Image data labeling and AI training for moiré pattern detection (AI Engineer Intern)

OtherImageObject Detection

I developed an EfficientNet-based model for moiré pattern detection to identify fraudulent identity documents by detecting screen captures. The project involved comprehensive data preprocessing, model training, and evaluation on real-world eKYC image datasets. I also conducted extensive iterative improvements to enhance detection reliability for deployment in production environments. • Processed and annotated diverse document image data from various ID formats • Labeled images to indicate fraudulent patterns and screen capture artifacts • Evaluated and refined model performance based on labeled data outputs • Collaborated to enhance and validate annotated datasets for production use

2025 - 2026

Education

Work History