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Minh Do
VERIFIED TECHNICAL DOSSIERSources checked

Minh Do

Creator of Crawl4AI

2 Verified ArtifactsSource Checked & Attributed
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Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Minh Do. Every entry undergoes editorial source verification.

#1
RESEARCH Checked Sep 22, 2026

Benchmarking Web Extraction Quality for Large Language Models

Conducted empirical benchmarks demonstrating a 6x speedup and 70% reduction in context token waste by stripping non-semantic DOM elements prior to RAG embedding.

Model & Execution Context:DOM pruning algorithms, cosine similarity RAG retrieval, token economics.
Scope & Limitations

Complex nested web tables with multiple header levels require custom parsing logic.

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#2
IMPLEMENTATION Checked Sep 22, 2026

Crawl4AI: Open-Source LLM-Friendly Web Crawler and Extraction Engine

Designed and built Crawl4AI, a high-speed asynchronous web crawler that converts complex JavaScript-rendered web pages into clean, token-efficient Markdown formatted specifically for LLMs and RAG pipelines.

Model & Execution Context:Playwright, AsyncIO, BeautifulSoup, LLM extraction schema, token minimization.
Scope & Limitations

Aggressive anti-bot fingerprinting services (Cloudflare, Akamai) require proxy rotation.

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