I'm an AI engineer with a strong quantitative background, I've worked as an AI R&D engineer in top companies such as Amazon and IBM.
I'm an Alumnus of the University of Oxford and รcole Polytechnique specialized in Machine Learning/AI/Statistics.
I have published the following papers:
- ICML with Oxford: Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
- NeurIPS with IBM: Distributional Reinforcement Learning for Risk-Sensitive Policies
| ๐ Nationality | ๐ซ๐ท France |
| ๐ก Residency | ๐ซ๐ท France |
| ๐ Location | ๐ซ๐ท France |
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rok.co/@ilyas96 |
| ๐ Website | sdfljasfjkhsdfajsf โญ๏ธ Upgrade to Premium to contact |
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| Skilled in | python ai rd data science predicitons computer vision nlp graph neural networks mathematic modeling mcmc monte carlo bayesian statistics statistics hyperparameters tuning transfer learning ec2 s3 remote debugging tensorboard visualization |
| Fluent in | englishfrencharabicspanish |
| Preferred annual pay (min) | $120,000/year |
| Last seen | 1 year ago |
| Signed up | 1 year ago |
| Badges |
๐จโ๐ป Remote worker ๐จ Maker ๐ Early adopter |
2021 - 2024: AI R&D Engineer @ Arcturus Studio
2020 - 2021: AI Applied Scientist @ Amazon
2019 - 2019: AI R&D, NeurIPS paper @ IBM Research Labs
2020 - 2020: Amortized Bayesian Optimal Experimental Design, ICML paper with Oxford
2019 - 2019: Predicting binding molecules on a strongly imbalanced dataset
2019 - 2020: MSc in Statistical Science @ University of Oxford
2016 - 2019: Machine Learning, Applied Math and Computer Science, Engineer's Degree @ Ecole Polytechnique
2015 - 2016: Preparatory year with basic knowledge in IT and Applied Mathematics @ Telecom ParisTech
2013 - 2015: Intensive undergraduate-level preparation in advanced Mathematics, Physics and Computer Science @ Preparatory Classes MlY