Zhanibek Datbayev is a CTO and co-founder based in Palo Alto with a decade of experience building large-scale AI and personalization systems. He led foundational deep learning infrastructure and production ML platforms at Facebook, then scaled optimization and annotation pipelines for enterprise process mining at Celonis. Earlier, as a founding engineer at ipsy he engineered a personalization stack that grew from 10k to over 2M users and applied large-scale mixed integer programming to real business constraints. His technical breadth spans ML modeling, optimization (Gurobi, SCIP), large-scale feature pipelines and deep learning frameworks, plus low-level systems work in C++/Java from his Google internships. Now steering Nace AI, he blends hands-on engineering with product-facing AI strategy—an operator who moves models from research to production at enterprise scale. An understated strength is his history of architecting both bespoke optimization solutions and general-purpose ML infra, enabling measurable business impact.
9 years of coding experience
14 years of employment as a software developer
Lyceum N8
Information Systems, Information Systems at Kazakh British Technical University
Master’s Degree Computer Science, Master’s Degree Computer Science at Purdue University
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