Alexis brings over 25 years of experience in agile software development, with specialized expertise in natural language processing (LLMs, GenAI), machine learning, and artificial intelligence. Their advanced understanding of stochastic processes and signal processing proffers a unique blend of skills. Alexis distinguishes themselves not only as a data scientist but also as an effective team lead and team builder. In addition to their practical work, Alexis has authored two books on machine learning, focusing specifically on applications within AWS and Google Cloud Platform, and was published by Packt. Furthermore, Alexis shares their expansive knowledge as the Data Science editor at InfoQ. Committed to fostering education, they have experience as a lecturer in data science, both online and in-person for bootcamps and universities, spanning across regions in the US, EU, and Africa. Their commitment to promoting knowledge in the data science field is testament to their dedication to the profession.