Rayhane Mama
Deep Learning Researcher at Block
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolRayhane Mama is a deep learning researcher and engineer with 8 years of experience building production-grade generative models across audio, vision and multimodal domains. Currently at Block, he researches audio generative models after leading work on audio-to-video generation, hierarchical VAEs, and LLM-driven fraud detection for CashApp. His background includes shipping scalable expressive TTS systems at DeepZen and creating high-profile deepfake demos and detectors at Dessa that drew New York Times coverage. An active open-source contributor, he improved Tacotron-2 and WaveNet implementations with multi-GPU support and performance fixes. Known for tackling "impossible" problems, he blends research rigor with practical engineering to move state-of-the-art models into production.
8 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng Engineering/Industrial Management, Master of Engineering - MEng Engineering/Industrial Management at ENSTAB - Ecole Nationale des Sciences et Technologies Avancées à Borj Cédria
English, French, Arabic
Stackoverflow
2,374reputation
217kreached
91answers
0questions
pandas
top-5%
python
top-5%
Github Skills (16)
text-to-speech10
speech-synthesis10
deep-learning10
tensorflow10
python10
machine-learning9
pandas9
paper8
merge6
docker6
dictionary6
regex6
dataframe6
numpy6
scikit-learn6
Programming languages (4)
Github contributions (5)
Rayhane-mamah/Rayhane-mamah.github.io
Apr 2018 - May 2021
Contributions:24 commits, 22 pushes, 1 branch in 3 years 2 months
Vanlogh/ENSTABrain
Dec 2017 - Feb 2018
Contributions:20 commits, 20 pushes in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.