佳豪 吴.

Key Skills

Software

No software listed

Top Subject Matter

Traditional Chinese Medicine Q&A

Operating System Knowledge Graph

Top Data Types

Text

Document

Top Task Types

Question Answering

Relationship

Freelancer Overview

Data Annotation and AI Model Training Contributor. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, 燕山大学 (2026). AI-training focus includes data types such as Text and Document and labeling workflows including Question Answering and Relationship.

Labeling Experience

Knowledge Graph Data Labeler & Validator

DocumentRelationship

Contributed to knowledge graph construction and entity relationship annotation for an AI-powered Q&A system in operating systems. Designed multi-level validation strategies for entity normalization and relationship accuracy. Enhanced answer quality by refining data pathways and output logical connections. • Labeled and validated over 1,000 entities and their relationships in operating system knowledge base. • Employed Neo4j and Cypher to standardize, check, and relate conceptual entities. • Applied whitelisting and multi-layer validation to ensure precision in data relationships. • Supported downstream QA system by improving logical flow and accuracy of entity-based answers.

2025 - 2026

Data Annotation and AI Model Training Contributor

TextQuestion Answering

Led data-driven enhancement of a multi-modal RAG-based intelligent Q&A Agent for traditional Chinese medicine terminology. Implemented document parsing and entity recognition workflows to improve data accuracy and operational efficiency. Integrated reflection compliance mechanisms and memory features to maintain high answer and compliance rates. • Processed and structured multi-format documents including PDFs, Word files, and images for knowledge extraction. • Employed OCR and retrieval technologies to identify, classify, and standardize medical terms and answers. • Collaborated with real-time API data and optimized retrieval strategies using BM25 and vector search. • Ensured accurate, compliant responses by refining data annotation for AI model performance.

2025 - 2025

Education

Work History