
Design scalable generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud
Leonid Kuligin is a staff AI engineer at Google Cloud, working on
generative AI and classical machine learning solutions (such as demand forecasting
or optimization problems). Leonid is one of the key maintainers of Google Cloud
integrations on LangChain, and a visiting lecturer at CDTM (TUM and LMU). Prior to
Google, Leonid gained more than 20 years of experience in building B2C and B2B
applications based on complex machine learning and data processing solutions such as
search, maps, and investment management in German, Russian, and US technological,
financial, and retail companies.Zaldívar Jorge :
Jorge Zaldivar is an AI Engineer at Google and also a contributor to
LangChain's integrations with Google. He has a decade of experience building complex
Machine Learning applications and products applied to the energy and financial
industries.Tschochohei Maximilian :
Maximilian Tschochohei leads AI engineering at Google Cloud Consulting EMEA. He implements LangChain applications together with Google Cloud customers. Before Google, he worked in strategy and technology consulting with Boston Consulting Group.