I am a Model Risk professional with over 12 years of experience in model development, validation, and internal audit, ranging from traditional statistical techniques to cutting-edge large language models (LLMs). My expertise lies in mitigating model risk and ensuring regulatory compliance, particularly within the US banking industry. My deep experience in model risk management, paired with extensive industry knowledge, enables me to evaluate the performance, robustness, and interpretability of a wide range of models effectively.Collaboration with cross-functional teams is central to my approach, enhancing transparency, reliability, and confidence in model risk management processes.I have worked with some of the largest banks in both the US and Europe, serving in various capacities as both a full-time employee and a consultant. My professional background spans key risk domains, including Credit Risk, PPNR, and Market Risk, in both regulatory and non-regulatory domains. I have extensive hands-on experience with advanced AI/ML models, including GPT, LLama, BERT, XGBoost, and LightGBM, as well as sophisticated neural network architectures such as Transformers, CNNs, and RNN/LSTMs. My expertise encompasses areas such as knowledge distillation, finetuning, hyperparameter tuning, model explainability, transfer learning, and transformer-based models.Leadership has been a cornerstone of my career. I have successfully led diverse teams to achieve significant milestones, combining strategic goal-setting with mentorship. My leadership philosophy fosters continuous learning and professional development, ensuring that team members excel and exceed objectives.I am passionate about the intersection of banking and technology, with a particular focus on leveraging Generative AI to drive innovation and enhance efficiency.