Raphael Ramos
AI Engineer at Magie
Brasília, Federal District, Brazil
Summary
👤
Senior🎓
Top SchoolRaphael Ramos is an AI Engineer with nine years of experience building large-scale, real-time ML and Generative AI systems, currently leading development of WhatsApp-based AI agents at Magie that serve hundreds of thousands of users and enable billions of BRL in transactions. Previously at Nubank he led global Data & AI platform strategy and designed fraud detection systems that scored hundreds of millions of monthly events and delivered tens of millions of BRL in annual impact. He combines deep expertise in agent architectures, generative models, real-time ML pipelines, graph systems and scalable AI infrastructure with a hands-on engineering approach. Raphael’s academic background in computer science and mathematics and early research on learning-based image compression reflect a strong foundation in both theory and applied optimization. He’s passionate about clever problem-solving and often seeks unconventional perspectives to simplify complex systems.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BSc Computer Science, Bachelor of Science - BSc Computer Science at Universidade de Brasília
English, Portuguese
Github Skills (12)
face-recognition7
face7
computer-vision6
face-detection6
autoencoder5
facenet5
tensorflow5
deep-learning5
image-processing2
neural-network2
compression2
image-compression1
Programming languages (3)
Github contributions (5)
raphasramos/competitive-programming
Jan 2019 - Jan 2019
Contributions:39 commits, 41 pushes in 20 days
raphasramos/deep-coding
May 2019 - Jul 2019
End-to-End Autoencoder Image Compression Framework
Contributions:15 commits, 3 pushes in 1 month
autoencoderend-to-endcompressionneural-networkimage-processing
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