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.
10 years of coding experience