明哥

Key Skills

Software

No software listed

Top Subject Matter

Enterprise knowledge base construction for LLM/RAG applications (power/utility domain)

LLM applications deployment and evaluation in an enterprise platform (AI Agents)

Top Data Types

Text

Document

Top Task Types

Prompt + Response Writing (SFT)

Question Answering

Freelancer Overview

AI Platform Delivery Engineer — Enterprise Knowledge Service Platform (RAG). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor's Degree, Heze University. AI-training focus includes data types such as Text and Document and labeling workflows including Prompt + Response Writing (SFT) and Question Answering.

Labeling Experience

AI Platform Delivery Engineer - RAG - Whale Cloud Technology Co., Ltd.

Document

You supported enterprise RAG knowledge base construction and improvements for accurate answer generation. You organized large-scale knowledge base and document collections, then refined retrieval strategies and prompt engineering to enhance retrieval quality. You also assisted with RAG deployment, testing, and production release using standard engineering and cloud practices. • Organized 700+ knowledge bases and 80,000+ enterprise documents • Optimized retrieval strategies and prompt engineering to improve answer accuracy • Assisted with deployment, testing, and production release activities • Supported ongoing production operations and addressed user-reported issues

2023 - Present

AI Platform Delivery Engineer - Whale Cloud Technology Co., Ltd.

Text

You delivered enterprise AI platform deployment and operational support for large language model related solutions. You handled requirements gathering, functional verification, UAT, release management, and ongoing production support while coordinating with product and R&D teams. You used Linux, Kubernetes, Docker, SQL, and cloud services to investigate issues, analyze platform usage, and improve system performance. • Participated in deployment, rollout, and operations of the AI platform for Zhejiang State Grid • Collected business requirements and supported AI application implementation and user training • Performed verification, UAT, release management, and production issue triage • Analyzed platform usage with SQL and optimized retrieval and prompt strategies for RAG

2023 - Present

AI Platform Delivery Engineer — Zhejiang State Grid AI Large Model Platform

TextQuestion Answering

Participated in the full lifecycle of LLM platform delivery for enterprise AI applications, including requirements collection, testing, release management, and production support. Coordinated with R&D and product teams to translate business needs into deployable AI application features. Conducted verification and user acceptance testing to ensure functional correctness before release. • Delivered platform training for regional power companies across Zhejiang Province. • Analyzed platform usage using SQL to inform product optimization. • Investigated user issues through tickets and support groups for continuous improvement. • Supported large-scale AI agent operations with high cumulative invocations.

2023 - Present

AI Platform Delivery Engineer — Enterprise Knowledge Service Platform (RAG)

TextPrompt + Response Writing (SFT)

Assisted in enterprise RAG knowledge base construction for an AI knowledge service platform, which supports LLM retrieval and generation workflows. Organized and managed large quantities of enterprise documents and knowledge bases to improve system content coverage. Optimized retrieval strategies and prompt engineering to improve answer accuracy for end users. • Supported deployment, testing, and production release for the knowledge service. • Collected business requirements and contributed to AI application implementation. • Performed functional verification, UAT, and release management as part of platform rollout. • Provided production support by investigating user issues via tickets and coordinating with product/R&D teams.

2023 - Present

Education

Work History