Peter Chan

San Francisco Bay Area United States
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Summary

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Rockstar
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Top School
Peter Chan is an award-winning digital archivist based in the San Francisco Bay Area with over 15 years of experience developing systems for email, web, and born-digital archives. He has led best-practice workflows in acquisition, capture, processing, and metadata management at Stanford University Libraries, translating archival theory into scalable, auditable processes. With an MLIS and an MBA focused on information technology, he bridges librarianship, metadata strategy, and practical tech adoption. Passionate about applying GenAI and modern tooling to accelerate archival research and data curation, he focuses on pragmatic innovations that improve access and preservation. Colleagues know him for turning complex digital preservation challenges into repeatable, documented solutions that support long-term discovery and reuse.
code11 years of coding experience
bookMLIS Library & Information Science, MLIS Library & Information Science at San José State University
bookMBA Information Technology, MBA Information Technology at Gies College of Business - University of Illinois Urbana-Champaign
languagesChinese, English
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Github Skills (67)

neo4j10
ai10
data-import10
vectordb10
sql9
generative-ai9
knowledge-graph9
generative9
inference9
pdf9
openai9
graph9
unstructured-data9
privategpt8
webarchive8

Programming languages (8)

TypeScriptJavaC++RustJavaScriptJupyter NotebookRubyPython

Github contributions (5)

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peterchanws/ePADD

Jul 2015 - Feb 2016

Contributions:1 branch, 1 issue in 7 months
ePADD/epadd

Mar 2018 - Nov 2018

ePADD is a software package developed by Stanford University's Special Collections & University Archives that supports archival processes around the appraisal, ingest, processing, discovery, and delivery of email archives.
Contributions:10 releases, 3 commits, 3 pushes in 7 months
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