Egor Kraev is an AI-focused technology leader and founder with nine years of industry experience and a deep quantitative pedigree from ETH Zurich and a PhD background in macroeconomic general equilibrium from the University of Maryland. As Head of AI at Wise he built a 30+ person data science organization and delivered production ML across fraud detection, trading, causal marketing inference and company-wide LLM applications. He combines financial markets quant experience (senior roles at UBS and Deutsche Bank) with startup grit, founding multiple analytics and AI ventures and now co-founding Motley and Motleycrew.ai. His research-minded approach surfaces in experiments on reinforcement learning for molecular optimisation and multi-agent LLM systems, bridging rigorous math with product impact. Based in Zurich, he advises VCs and founders and enjoys exploring unconventional interfaces between generative AI and education—plus a quirky taste for receiving messages from LLMs in poetic form.
9 years of coding experience
15 years of employment as a software developer
PhD Macroeconomics (General Equilibrium Models), PhD Macroeconomics (General Equilibrium Models) at University of Maryland
Dipl. Math. ETH Partial Differential Equations, Dipl. Math. ETH Partial Differential Equations at ETH Zürich
A collection of pytorch models and calibration types for generating discrete objects: equations, molecules, etc
Contributions:267 commits, 1 PR, 180 pushes in 1 year 6 months
pytorchequationsmoleculespytorch-modelsdiscrete
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