Reda A.

PhD program starting in September 2025 between CentraleSupélec and Institut Gustave Roussy (best Cancer center in Europe) on AI/Generative AI applied to Oncology.

Built 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.

I 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).