Official Faculty Profile
AI/ML Engineer focused on Generative AI, LLMs, and deep learning, with peer-reviewed research contributions in neural networks and forecasting. Computer Science Teacher empowering the next generation.
DeepLearning.AI & Stanford
DataCamp
Multiple peer-reviewed publications on advanced ML architectures, Explainable AI (XAI), and predictive environmental models.
Applied to diverse climatic regions combining physics constraints with neural networks.
Read PaperLightGBM and residual neural network achieving state-of-the-art accuracy.
Read PaperDeep learning with explainable AI (XAI) for environmental health applications.
Read Paper