PeterĀ Alvaro
Amazon Scholar at University of California, Santa Cruz
San Francisco Bay Area United States
Summary
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Top SchoolPeter Alvaro is a distributed systems and data management researcher-practitioner with 17 years of experience combining academic rigor and production-grade engineering. He holds a Ph.D. in Computer Science from UC Berkeley and serves as an Associate Professor at UC Santa Cruz while working as an Amazon Scholar, bridging cutting-edge research with real-world systems. His career includes influential consulting stints at Netflix, Uber, and eBay where he developed and scaled techniques like lineage-driven fault injection into production. Comfortable across programming languages and system design, he has a track record of turning formal ideas into operational tooling for reliability and observability. Based in the San Francisco Bay Area, he runs Disorderly Labs and brings a rare mix of philosophical training and hands-on systems craftsmanship to hard problems in fault tolerance and data provenance.
17 years of coding experience
24 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science (Philosophy Minor), Doctor of Philosophy (Ph.D.) Computer Science (Philosophy Minor) at University of California, BerkeleyBA English Literature Philosophy, BA English Literature Philosophy at Middlebury College
Spanish
Github Skills (16)
in-progress9
bloom9
kubernetes4
design-documents2
distributed-tracing1
opentelemetry1
compiler1
fault-injection1
programming-language1
hugo-theme1
hugo1
injection1
opentracing1
fault1
interpreter1
Programming languages (6)
Github contributions (5)
palvaro/CMPS232-Fall16
Jul 2016 - Oct 2016
Contributions:19 commits, 1 PR, 16 pushes in 3 months
palvaro/ldfi-py
Jun 2016 - Jan 2019
Contributions:23 commits, 2 PRs, 21 pushes in 2 years 7 months
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