Rafael Bey-hernandez

Vice President at Goldman Sachs

Jersey City, New Jersey, 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

🤩
Rockstar
🎓
Top School
Rafael Bey is a seasoned engineering leader with 11 years at Goldman Sachs, now serving as Vice President in Jersey City where he blends technical depth with strategic delivery. A University of Puerto Rico–Mayagüez computer engineering graduate, he progressed from Technical Analyst to leadership roles while maintaining hands-on backend expertise. He contributes to notable open-source work such as finos/legend-engine, improving JSON serialization, relational execution, and programmatic service execution—skills that translate to robust API and data platform improvements in production. Known for fixing subtle runtime and streaming-edge bugs, Rafael excels at making complex distributed systems more reliable and auditable.
code11 years of coding experience
bookBachelor of Engineering (B.Eng.), Computer Engineering, Bachelor of Engineering (B.Eng.), Computer Engineering at University of Puerto Rico-Mayaguez
languagesSpanish, English
github-logo-circle

Github Skills (9)

legend10
javas10
freemarker10
java10
json-serialization10
modeling9
relational-databases9
api8
apidoc8

Programming languages (4)

TypeScriptJavaC++HTML

Github contributions (5)

github-logo-circle
finos/legend-engine

Sep 2021 - Jan 2023

Legend Engine module
Role in this project:
userBack-end Developer
Contributions:750 reviews, 33 commits, 810 PRs in 1 year 4 months
Contributions summary:Rafael primarily focused on improving the Legend Engine module by addressing various issues related to JSON serialization, and pure language compilation. They implemented measures to prevent the generation of invalid JSON during streaming result errors and corrected freemarker exception handling in relational execution. Additionally, the user worked on enhancing the relational store's functionality, validating milestone column existence, and providing programmatic execution features for services. Their contributions span execution plan improvements, relational database interaction, and API enhancements.
modelinglegend
Contributions:172 pushes, 143 branches in 1 year 11 months
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