Mohamed Najid

Introduction

Master's student in Artificial Intelligence at Université Claude Bernard Lyon 1, currently completing a final-year internship at Alstom Centre of Excellence (Ornans, France), where I apply deep learning and time series forecasting to industrial challenges in the railway sector. Passionate about building intelligent systems through Machine Learning, Deep Learning, NLP, and predictive modeling, I have accumulated hands-on experience across multiple industries ; from network anomaly detection and semantic analysis (Orange Business, Recruit.AI) to industrial AI applications (Alstom). I recently co-developed SentiTrade-HMA, a hybrid LLM + TFT algorithmic trading system achieving a Sharpe Ratio of 5.17. Skilled in Python, PyTorch, TensorFlow, Keras, and cloud technologies (AWS, Oracle Cloud), I'm driven by innovation at the intersection of data, deep learning, and real-world intelligent automation ; whether in finance, telecommunications, or industry.

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