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K
Kun C.

Kun C.

AI Knowledge Base Data Labeling in OpenAPI Platform Engineer Role

China flagFuzhou, China

Key Skills

Software

Internal/Proprietary Tooling
Don't disclose

Top Subject Matter

Enterprise AI Q&A systems
Knowledge Base
Banking Operations – Enterprise AI Knowledge Base

Top Data Types

TextText
DocumentDocument

Top Task Types

Question AnsweringQuestion Answering

Freelancer Overview

AI Knowledge Base Data Labeling in OpenAPI Platform Engineer Role. Brings 7+ 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, Zhejiang University (2020). AI-training focus includes data types such as Text and labeling workflows including Question Answering.

Labeling Experience

AI Knowledge Base Data Labeling in OpenAPI Platform Engineer Role

TextTextQuestion AnsweringQuestion Answering

Developed and maintained enterprise AI knowledge base and intelligent Q&A systems based on Retrieval-Augmented Generation (RAG) architecture. Designed, implemented, and optimized multi-agent workflows that enabled accurate enterprise knowledge retrieval. Ensured systems supported robust automated evaluation and structured data labeling for model improvement. • Built intelligent data pipelines to label and retrieve structured data for Q&A tasks • Integrated LangChain and LlamaIndex to enhance enterprise Q&A system training • Applied RAG architecture for improved LLM question answering performance • Collaborated with distributed backend teams for up-to-date knowledge base labeling

2022 - Present

AI Knowledge Base Data Labeling in IPAM System Engineer Role

TextTextQuestion AnsweringQuestion Answering

Built and managed textual knowledge base retrieval pipelines for enterprise network operation using RAG-based systems. Integrated AI-driven pipelines to label, annotate, and extract structured data to support intelligent banking internal-network operations. Automated data annotation, anomaly detection, and network operation intelligence through multi-agent AI workflows. • Designed and engineered text data labeling infrastructure for question answering • Leveraged LangChain for labeled knowledge base training in banking network operations • Integrated AI capabilities for labeling anomalies in text data • Enhanced automation for data extraction and annotation in enterprise workflows

2020 - 2022

Education

Z

Zhejiang University

Bachelor of Science, Computer Science and Technology

Bachelor of Science
2019 - 2022

Work History

A

Alibaba Cloud

OpenAPI Platform Engineer

Hangzhou
2022 - Present
I

Industrial Bank

AI Knowledge Base and IPAM Engineer

Fuzhou
2020 - 2022