Egor Kraev

With a foundation in the Russian mathematical tradition, refined at at ETH Zurich and the University of Maryland, my journey in machine learning spans decades, crossing from economic and human development analysis to advanced AI applications for business. As the Head of AI at Wise, I've had the privilege of molding its data science landscape, in particular in fraud detection, trading algorithms, causal inference for marketing, and transformative LLM applications throughout the company. My leadership has seen the Wise Data Science team grow from an idea to a powerhouse of over 30 skilled professionals. My passion for AI is not confined to work context; it extends for example into experiments in reinforcement learning for molecular optimization, and generative AI for educational purposes. Currently, my focus is on multi-agent LLM approaches, pushing the envelope for practical applications of GenAI. I am eager to connect with VCs seeking expert guidance, AI startup founders in search of a seasoned collaborator, conference organizers looking for transformative insights, and brilliant minds keen to join me in forging the future of AI. If you're at the forefront of innovation and looking for a partner in navigating the ever-changing landscape of artificial intelligence, let's explore how we can make cool stuff happen together.

With a foundation in the Russian mathematical tradition, refined at at ETH Zurich and the University of Maryland, my journey in machine learning spans decades, crossing from economic and human development analysis to advanced AI applications for business. As the Head of AI at Wise, I've had the privilege of molding its data science landscape, in particular in fraud detection, trading algorithms, causal inference for marketing, and transformative LLM applications throughout the company. My leadership has seen the Wise Data Science team grow from an idea to a powerhouse of over 30 skilled professionals. My passion for AI is not confined to work context; it extends for example into experiments in reinforcement learning for molecular optimization, and generative AI for educational purposes. Currently, my focus is on multi-agent LLM approaches, pushing the envelope for practical applications of GenAI. I am eager to connect with VCs seeking expert guidance, AI startup founders in search of a seasoned collaborator, conference organizers looking for transformative insights, and brilliant minds keen to join me in forging the future of AI. If you're at the forefront of innovation and looking for a partner in navigating the ever-changing landscape of artificial intelligence, let's explore how we can make cool stuff happen together.

With a foundation in the Russian mathematical tradition, refined at at ETH Zurich and the University of Maryland, my journey in machine learning spans decades, crossing from economic and human development analysis to advanced AI applications for business. As the Head of AI at Wise, I've had the privilege of molding its data science landscape, in particular in fraud detection, trading algorithms, causal inference for marketing, and transformative LLM applications throughout the company. My leadership has seen the Wise Data Science team grow from an idea to a powerhouse of over 30 skilled professionals. My passion for AI is not confined to work context; it extends for example into experiments in reinforcement learning for molecular optimization, and generative AI for educational purposes. Currently, my focus is on multi-agent LLM approaches, pushing the envelope for practical applications of GenAI. I am eager to connect with VCs seeking expert guidance, AI startup founders in search of a seasoned collaborator, conference organizers looking for transformative insights, and brilliant minds keen to join me in forging the future of AI. If you're at the forefront of innovation and looking for a partner in navigating the ever-changing landscape of artificial intelligence, let's explore how we can make cool stuff happen together.