Peng Chu Email & Phone Number
@intelligrated.com
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Who is Peng Chu? Overview
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Peng Chu is listed as Senior Manager of Software Development, Quality at AvidXchange, Inc., a with 501 employees, based in Grand Rapids, Michigan, United States. AeroLeads shows a work email signal at intelligrated.com and a matched LinkedIn profile for Peng Chu.
Peng Chu previously worked as Senior Manager of Software Development Quality at Avidxchange, Inc. and Senior Software QA Automation Engineer at Invata Intralogistics. Peng Chu holds Phd, Information Systems from University Of Maryland Baltimore County.
Email format at AvidXchange, Inc.
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AeroLeads found 1 current-domain work email signal for Peng Chu. Compare company email patterns before reaching out.
About Peng Chu
Peng is a software developer and tester, an information system researcher • Senior manager and tech lead of software development, QA, and test automation• 15+ years of experience in large-scale systems, web services, and cloud applications• Develop and implement test strategies, plans, and cases of all levels and cycles• Build automation framework, develop automation codes/scripts, maintain CI/CD pipelines• Manage and tech lead QA team and training. Support prod environment
Listed skills include Data Mining, Java, Data Analysis, Databases, and 46 others.
Peng Chu's current company
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Peng Chu work experience
A career timeline built from the work history available for this profile.
Senior Software Qa Automation Engineer
Senior Software Quality Engineer
Software Quality Engineer
Web/.Net Developer
Adjunct Faculty Of Computer Science
.Net Developer
System/Financial Analyst
Colleagues at AvidXchange, Inc.
Other employees you can reach at avidxchange.com. View company contacts for 501 employees →
Diego Kempke
Colleague at Avidxchange, Inc.Houston, Texas, United States
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CJ
Chuka Jon-Ubabuco
Colleague at Avidxchange, Inc.Charlotte, North Carolina, United States
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SL
Stavros Liakakos
Colleague at Avidxchange, Inc.Charlotte, North Carolina, United States
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CB
Christopher Buess
Colleague at Avidxchange, Inc.Charlotte, North Carolina, United States
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KS
Kim Stuart Nyka
Colleague at Avidxchange, Inc.Charlotte Metro, United States
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EK
Emily Koester
Colleague at Avidxchange, Inc.Charlotte Metro, United States
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DD
Davis Darvill
Colleague at Avidxchange, Inc.Charlotte, North Carolina, United States
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RK
R. Kevin Anderson
Colleague at Avidxchange, Inc.Charlotte, North Carolina, United States
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SF
Sean Flanagan
Colleague at Avidxchange, Inc.Charlotte, North Carolina, United States
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EN
Erin Naismith
Colleague at Avidxchange, Inc.Charlotte, North Carolina, United States
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Peng Chu education
Phd, Information Systems
Bs, Financial Analysis
Frequently asked questions about Peng Chu
Quick answers generated from the profile data available on this page.
What company does Peng Chu work for?
Peng Chu works for AvidXchange, Inc..
What is Peng Chu's role at AvidXchange, Inc.?
Peng Chu is listed as Senior Manager of Software Development, Quality at AvidXchange, Inc..
What is Peng Chu's email address?
AeroLeads has found 1 work email signal at @intelligrated.com for Peng Chu at AvidXchange, Inc..
Where is Peng Chu based?
Peng Chu is based in Grand Rapids, Michigan, United States while working with AvidXchange, Inc..
What companies has Peng Chu worked for?
Peng Chu has worked for Avidxchange, Inc., Invata Intralogistics, Honeywell, Notions Marketing, and Grand Valley State University.
Who are Peng Chu's colleagues at AvidXchange, Inc.?
Peng Chu's colleagues at AvidXchange, Inc. include Diego Kempke, Chuka Jon-Ubabuco, Stavros Liakakos, Christopher Buess, and Kim Stuart Nyka.
How can I contact Peng Chu?
You can use AeroLeads to view verified contact signals for Peng Chu at AvidXchange, Inc., including work email, phone, and LinkedIn data when available.
What schools did Peng Chu attend?
Peng Chu holds Phd, Information Systems from University Of Maryland Baltimore County.
What skills is Peng Chu known for?
Peng Chu is listed with skills including Data Mining, Java, Data Analysis, Databases, Sql, Machine Learning, Statistics, and Business Analysis.
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