The Generative AI Career Masterplan

Andreas is VP of AI & Growth at BLP, bringing deep enterprise AI expertise built over an eight-year career leading a major AIOps service portfolio across EMEA. He has worked at the intersection of AI strategy, IT operations, and generative AI deployment, helping enterprises put AI reliably into production. Andreas is also a university lecturer, teaching in the Master's in Artificial Intelligence program at ZIGURAT Institute of Technology, and is the author of The Generative AI Career Masterplan, sharing practical AI knowledge with the next generation of practitioners.

Leonid is a Staff AI Engineer at Google Cloud and a key maintainer of LangChain's Google Cloud integrations, including the first Palm integration to the platform. He specialises in building production-ready generative AI and agentic systems, with a focus on Vertex AI and LLMOps. He is the author of Architecting Generative AI Applications and co-author of Generative AI with LangChain, and serves as a Visiting Lecturer at CDTM (TU Munich / LMU).

Maxime Labonne is Head of Post-Training at Liquid AI, serving as the head of post-training. He holds a Ph.D. in Machine Learning from the Polytechnic Institute of Paris and is recognized as a Google Developer Expert in AI/ML.

An active blogger, he has made significant contributions to the open-source community, including the LLM Course on GitHub, tools such as LLM AutoEval, and several state-of-the-art models like NeuralBeagle and Phixtral. He is the author of the best-selling book “Hands-On Graph Neural Networks Using Python,” published by Packt.

Sadid leads Applied Science within Microsoft's AI Development Acceleration Program in the Office of the CTO, building advanced AI capabilities across Microsoft 365 and Azure Copilot products. He has spent over 20 years in AI research and development, with 200+ publications and 35 granted patents spanning generative AI, clinical NLP, and question answering.

He serves on the MIT Technology Review Global Panel, the Harvard Business Review Advisory Council, and the Harvard Data Science Initiative, and is a regular program committee member at top-tier NLP and machine learning conferences. Sadid was recently named one of the 100 most influential AI leaders in the USA.