About Reda
Formation/Expériences professionnelles:
Je suis ingénieur, diplômé de l'Ecole Centrale Paris et de l'Université de Cambridge, spécialisé en Intelligence Artificielle / Machine learning avec de l'expérience dans la Biologie/Neurosciences/Médecine et dans la Finance Quantitative.
J'ai travaillé sur des projets d'IA appliquée à la génétique et aux maladies neurodégénératives et j'ai travaillé en tant que Quantitative Researcher à Morgan Stanley pendant 2 ans. J'ai monté une entreprise d'IA Générative avant de poursuivre avec un DU en IA & Santé. Je vais démarrer une thèse en IA & Médecine en Septembre 2025.
Skills:
- Connaissances de Python, PyTorch, TensorFlow, Scikit-Learn et d'autres librairies de ML/Data Science
- Connaissances en Finance Quantitative, Finance de marché
- Connaissances en IA Générative et LLM approfondies
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Education/Experience:
I am an AI professional, graduated from Ecole Centrale Paris and the University of Cambridge in Maths, with experience in ML/DL applied to Biology/Neurosciences and Quantitative Finance.
I worked on AI projects applied to Genetics and neurodegenerative diseases and also worked as a Quantitative Researcher at Morgan Stanley for 2 years, within the Fixed Income space. I built a Generative AI startup before obtaining a diploma in AI & Health. I will start a PhD in AI & Medicine in September 2025.
Skills:
- Knowledge of Python, PyTorch, TensorFlow, Scikit-Learn and many other libraries linked to DataScience and ML.
- Knowledge of Quantitative Finance
- Knowledge of Generative AI and LLM
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- CentraleSupélecPhD Machine LearningPUBLIC SECTORJuly 2025 - Today (11 months)Paris, FrancePhD program starting in September 2025 between CentraleSupélec and Institut Gustave Roussy (best Cancer center in Europe) on AI/Generative AI applied to Oncology.
- Atune AICo-founderAugust 2024 - November 2024 (3 months)San Francisco, United StatesBuilt an LLM Monitoring tool for financial applications, including KYB automation, fraud detection, and customer service through chatbots and voice agents. Our tool aimed to simplify testing, evaluation, and monitoring of LLM applications.
- Morgan StanleyQuantitative ResearcherBANKING AND INSURANCEMay 2022 - June 2024 (2 years and 1 month)Paris, FranceI was a Quantitative Researcher (Associate) within the Fixed Income Machine Learning team:- Developed Deep Learning algorithms for pricing digital options in FX (foreign exchange market) , i.e. high-dimensional function approximation with Neural Networks and generation methods for synthetic data.- Developed and maintained NLP algorithms for parsing and pricing textual Financial Request For Quotes (RFQs). Worked on a deterministic approach and then focused on learning approaches: leveraged open-source LLMs (Mistral and Llama models) and In-context learning to improve accuracy and develop new features- Worked on systematic strategies for electronic FX (currency exchange market) and electronic Rates (government bonds market) desks: research on Machine Learning models and monitoring (MLOps).
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Education
- Master's degreeUniversity of Cambridge2020Master's degree in Mathematics (Part III)
- Diplôme d'Ingénieur / Master of ScienceEcole Centrale Paris / CentraleSupélec2019M.Sc in Engineering, Applied Mathematics
Certifications
- Causal InferenceCoursera - University of Pennsylvania2020
- Créer & développer une start-up technologiqueCoursera - HEC/X2019