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琼 王
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琼 王

@0007675

Applied AI Engineer at CrowdDoing who built a self-correcting RAG search engine and published MTX Translator.

United States
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At CrowdDoing, I built a self-correcting RAG search engine that answers questions about project documents with source citations and explicit responses when evidence is insufficient. I implemented checks for relevance, grounding, and usefulness, and delivered a React/FastAPI Q&A app and API.

At IPRO Dental Lab, I designed product and system architecture for a dental lab management application and built a multi-module frontend for records, workflows, scheduling, and reporting. I also redesigned a mobile dental-scanning workstation, cutting hardware costs by about 50% and delivering tens of thousands of dollars in confirmed initial-rollout savings.

I built and published MTX Translator, a browser extension for translating pages, video subtitles, and selected text across 50 languages. I also built an n8n workflow that researches prospects, enters them into Pipedrive, and drafts Gmail outreach for human review.

Experience

Work history, roles, and key accomplishments

CR
Current

AI Engineer

CrowdDoing

Mar 2026 - Present (7 months)

Built a self-correcting RAG search engine for project documents with source citations and explicit responses when evidence is insufficient. Implemented relevance, grounding, and usefulness checks in LangGraph and delivered a React/FastAPI Q&A app with privacy mode and prompt-injection safeguards.

IL

IT Specialist (Sole Software Engineer)

IPRO Dental Lab

Apr 2025 - Sep 2025 (5 months)

Designed product and system architecture for a dental lab management application and built a multi-module frontend covering data entry, record management, workflow tracking, production scheduling, and reporting. Redesigned a mobile dental-scanning workstation for portability and simpler hardware, cutting hardware costs by about 50%.

Education

Degrees, certifications, and relevant coursework

Trine University logoTU

Trine University

Master of Science, Information Studies

2023 - 2024

Grade: 3.8 / 4.0

Activities and societies: Outstanding Student nominee

Pursued a Master of Science in Information Studies, achieving a GPA of 3.8/4.0 and being nominated as an Outstanding Student.

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