Carlos Divo - Board Member at Expensify

Carlos Divo

Board Member at Expensify

San Diego, California, United States

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Summary

🤩

Rockstar

🎓

Top School

Carlos Divo is a seasoned technology leader with 12 years of experience and a long-standing career at Expensify, where he progressed from Head of Web Development to Director of Engineering, CTO/CISO for Expensify Payments, and now serves on the Board. He combines hands-on backend and database engineering—evidenced by contributions to Expensify’s Bedrock distributed database—with strategic leadership in payments, security, and core services. Based in San Diego, he is skilled at turning resilient distributed systems and retry-safe job processing into production-grade features that improve reliability at scale. His background in computer engineering and studies at Uppsala University reflect a strong academic foundation paired with practical product delivery. Colleagues describe him as a pragmatic architect who balances deep technical refactors with operational needs and risk management.

12 years of coding experience

6 years of employment as a software developer

Computer Engineer, Computer Engineer at Universidad Simón Bolívar

Bachelor of Science Maracay – Aragua; Computer Engineer, Bachelor of Science Maracay – Aragua; Computer Engineer at U.E.P. C.E.D.I

Computer Science, Computer Science at Uppsala University

Spanish, English, Swedish

Github Skills (7)

sqlite10

sql10

back-end-development10

database-design10

cprogramming-language9

distributed-database9

c-language9

Programming languages (6)

TypeScriptCJavaScriptPHPPerlRuby

Github contributions (5)

Expensify/Bedrock

Sep 2016 - Nov 2022

Rock solid distributed database specializing in active/active automatic failover and WAN replication

Role in this project:

Back-end Developer / Database Engineer

Contributions:66 releases, 61 reviews, 134 commits in 6 years 2 months

Contributions summary:Carlos focused on enhancing the `Jobs` plugin, a core component of the distributed database. Their contributions primarily involved adding a `retryAfter` column to the `jobs` table in the database schema. They implemented logic to manage and update jobs with retry mechanisms, including updates to job states. The user also refactored code, fixed bugs, and enforced constraints related to retrying and updating jobs.

distributed-databasefailoverreplicationwan

cead22/dotfiles

Feb 2014 - Sep 2022

Contributions:75 commits, 18 pushes in 8 years 8 months

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