Rodrigo Gomes

Member Of Technical Staff at Databricks

San Francisco, California, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Rodrigo Gomes is a seasoned database engineer with 11 years focused on distributed systems, transaction processing, and ACID guarantees, currently contributing to Databricks’ Lakebase team. He spent nine years at SingleStore rising to Senior Director of Engineering and leading the Storage Team, where he drove clustering and resiliency improvements in production databases. Rodrigo combines hands-on systems design with leadership experience, shepherding storage architecture from implementation through operational maturity. Trained at MIT (BS and MS in Computer Science), he also has roots in research and teaching—having worked at CSAIL and served as an MIT course TA—which informs his methodical approach to complex problems. Based in San Francisco, he brings a rare blend of deep storage expertise and product-facing engineering judgment that smooths the path from research ideas to robust, scalable systems.
code11 years of coding experience
job12 years of employment as a software developer
bookMaster’s Degree Computer Science, Master’s Degree Computer Science at Massachusetts Institute of Technology
languagesPortuguese, English
github-logo-circle

Github Skills (42)

displays9
locker9
bayesian8
docker-container8
driver8
development-tools8
docker-image8
docker7
database6
clang6
window-manager6
python6
cpp5
virtual5
sql5

Programming languages (7)

PowerShellC++ShellRustCGoPython

Github contributions (5)

github-logo-circle
Scripts and instruction for automatically setting up a lone virtual monitor to stream from sunshine.
Contributions:5 reviews, 12 PRs, 14 pushes in 1 year 6 months
dustinvtran/bayesrl

Apr 2015 - May 2015

A Python library for reinforcement learning using Bayesian approaches
Contributions:25 commits, 1 PR, 19 pushes in 29 days
bayesianpythonreinforcement-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial