Summary
Raphael Ribas is a software engineer with 11 years of experience building large-scale, production systems across research-forward and high-throughput environments. He has shipped core backend services at Google and WhatsApp, contributed to early OpenAI projects, and now works on complex systems at Jane Street. His strengths span high-scale architectures, machine learning (including deep and reinforcement learning), and practical product-focused engineering—evidenced by building a chess backend that handled 100k players on a single machine and a facial recognition prototype with 90% precision. As a former founder, he combines product intuition with hands-on implementation and a taste for competitive ML like Kaggle. Based in the New York City area, he brings a rare blend of academic rigor from top Brazilian universities and real-world experience at both startups and large tech firms. Colleagues describe him as someone who enjoys tackling the tricky intersections of scale, ML research, and production reliability.
11 years of coding experience
11 years of employment as a software developer
USP - Universidade de São Paulo
Bachelor of Applied Science (B.A.Sc.), Computer Science, 9.1/10, Bachelor of Applied Science (B.A.Sc.), Computer Science, 9.1/10 at Universidade Federal do Paraná