Summary
Alexander Zimin is an Applied Science Manager at Amazon with 16 years of experience bridging rigorous machine learning research and production-grade systems. He holds a PhD in Machine Learning from IST Austria focused on learning from dependent data and has deep expertise in time series, online, reinforcement, and multi-task learning, which he has applied across roles from intern projects to senior scientist positions at Amazon and Google. Based in Berlin, he combines strong applied mathematics training with software engineering roots dating back to early development roles, enabling him to translate complex theoretical ideas into reliable evaluation tools and deployed models. Known for tackling dependent-data problems that many ML teams overlook, he brings a research-first mindset to product-focused teams and a track record of building practical tooling for bandit and online evaluation.
16 years of coding experience
9 years of employment as a software developer
Master of Science, Applied Mathematics, Master of Science, Applied Mathematics at Central European University
Doctor of Philosophy (PhD), Machine Learning, Doctor of Philosophy (PhD), Machine Learning at Institute of Science and Technology Austria
Bachelor degree, Applied Mathematics and Computer Science, Bachelor degree, Applied Mathematics and Computer Science at Yaroslavl Demidov State University
Russian, English, German