Summary
Rafa Felix is a PhD-trained founder and research scientist with 11 years of international experience building ML-driven products that bridge computer vision, vision-language systems, and large language models. He has led high-impact work from academic breakthroughs—boosting VQA and deepfake detection benchmarks—to production safety engineering at scale, creating multimodal guardrails for 1B+ users and real-time inference pipelines handling 10k+ checks/sec. Rafa combines hands-on model and infra optimization (8K+ QPS inference, 4K-capable systems) with team leadership and mentorship across startups and research institutes. Now running an independent robotics safety lab, he focuses on verifiable, open-source safety protocols to prevent risky consumer deployments—an emphasis born from shipping constraints in real-world products. He’s as comfortable publishing top-cited papers as shipping compliant, large-scale ML systems across regulatory regions.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science (Computer Vision), Doctor of Philosophy (PhD), Computer Science (Computer Vision) at University of Adelaide
B. Sc. Information Systems, B. Sc. Information Systems at Universidade Estadual de Montes Claros
Mackenzie Presbyterian University
Portuguese, Spanish, English