Rafa Felix

Founder at Stealth Robotics Startup

United States
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Summary

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Senior
🎓
Top School
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.
code11 years of coding experience
job11 years of employment as a software developer
bookDoctor of Philosophy (PhD), Computer Science (Computer Vision), Doctor of Philosophy (PhD), Computer Science (Computer Vision) at University of Adelaide
bookB. Sc. Information Systems, B. Sc. Information Systems at Universidade Estadual de Montes Claros
bookMackenzie Presbyterian University
languagesPortuguese, Spanish, English
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Github Skills (37)

robotics10
image-viewer9
ai9
roboflow9
image-processing7
visualization7
segmentation7
computer-vision7
object-detection7
jupyter-notebook7
html6
machine-learning6
python6
stochastic-processes5
deep-learning5

Programming languages (4)

CHTMLJupyter NotebookPython

Github contributions (5)

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rafafelixphd/benky-fy

Aug 2025 - Feb 2026

Contributions:1 release, 23 PRs, 184 pushes in 6 months
rafafelixphd/frwgan-eccv18

Jul 2018 - Mar 2019

Code for model presented on our paper accepted on European Conference on Computer Vision 2018.
Contributions:20 commits, 24 pushes, 1 branch in 7 months
computer-vision
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