Rayan Ramoul
AI Research Engineer II - BioAI at InstaDeep
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolRayan Ramoul is an AI research engineer with nine years of experience building and scaling production-grade large language models and computer vision systems from research prototypes to cloud-native deployments. Currently leading BioAI efforts at InstaDeep, he specializes in distributed training (JAX/TPU, Torch/FSDP), advanced fine-tuning workflows (LoRA/QLoRA/SFT), and low-latency model serving via quantization and offloading across GCP, Azure, and AWS. He has a strong MLOps pedigree—designing CI/CD for high-velocity model lifecycles, reproducible pipelines, and secure deployment practices that bridge research and product. Previously he led computer vision and generative AI products at QUANT AI Lab, delivering client-facing APIs and optimization solutions for enterprise use cases. Academically grounded with high-honors master’s degrees from Sorbonne/Telecom Paris and experience discovering new scientific classes in satellite-cloud classification, he blends rigorous research instincts with pragmatic engineering. Colleagues know him as a tech enthusiast who routinely codifies best-in-class software practices across research repos to make cutting-edge models reliably production-ready.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at Université des Sciences et de la Technologie 'Houari Boumediène'Entrepreneurship/Entrepreneurial Studies, Entrepreneurship/Entrepreneurial Studies at CELSA Paris-SorbonneMaster 1 (M1), Artificial Intelligence, Master 1 (M1), Artificial Intelligence at Université Paris-SaclayMaster's degree, IMA (Machine Learning, Computer Vision, Mathematics), Master's degree, IMA (Machine Learning, Computer Vision, Mathematics) at Télécom ParisMaster's degree, IMA (Machine Learning, Computer Vision, Mathematics), Master's degree, IMA (Machine Learning, Computer Vision, Mathematics) at Sorbonne Université
French, English, Arabic
Github Skills (53)
deep-q-learning10
ubuntu10
driver10
google-tv10
user-experience10
unix9
reinforcement-learning9
python9
linux9
windows9
packaging9
development-environment9
wsl29
resolver9
chess9
Programming languages (10)
Github contributions (5)
rayanramoul/SImple-Javascript-Games
Nov 2018 - Mar 2023
Contributions:1 push, 1 branch in 4 years 5 months
rayanramoul/Findr
May 2018 - May 2018
Creating a technology to analyze documents with help of some NLP (Natural Language Processing) and ML (Machine Learning) algorithms to output a logical sorting of them in terms of subject and content, and also ordering your files organization.
Contributions:9 commits, 1 PR, 210 pushes in 2 days
machine-learningnatural-language-processing
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