Summary
Wit Jakuczun is an applied mathematician and AI advisor with nine years of focused industry experience and a PhD in Applied Mathematics, who helps companies turn AI from a technical experiment into measurable business value. He advises boards and leads as CTO/CDSO at startups and consultancies, bridging strategy, people/processes, MLOps architecture, and decision-science optimization engines that prescribe actions rather than just predict outcomes. His work spans retail, manufacturing, transportation, energy and gas, delivering solutions for pricing, inventory, scheduling, warehouse slotting and logistics routing. Practically-minded, he emphasizes KPIs and change management so models are adopted and durable in production. A former researcher and academic, he combines deep optimization expertise with hands-on product delivery across Europe and the San Francisco Bay Area. He is known for turning complex mathematical models into operational decision-support systems that directly improve profitability and efficiency.
9 years of coding experience
7 years of employment as a software developer
MSc Mathematics, MSc Mathematics at University of Warsaw
PhD Applied Mathematics, PhD Applied Mathematics at Institute of Computer Science, Polish Academy of Science
English, Polish