Arseny Khakhalin is a Head of AI and Automation based in Berlin with 10 years of experience bridging academic research and industrial data science to build scalable, production-grade ML systems. He has led high-impact projects across mobility and logistics—designing high-throughput demand-planning pipelines and real-time car-placement models that delivered seven-figure annual savings and multi-million-dollar cost avoidance opportunities. Comfortable cycling between software engineer, Spark architect, and researcher roles, he combines deep expertise in optimization, reinforcement learning and digital twins with hands-on Spark/Databricks and Python engineering. Earlier academic work includes a PhD in neurophysiology and a postdoc that produced widely-used analysis tools and 20+ publications, reflecting a strong foundation in feature engineering and complex data visualization. He also prototypes independently (notably an AI bot for draftsim.com) and runs viral product experiments, showing a knack for translating novel ideas into user-facing systems.
10 years of coding experience
21 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Neurophysiology, Doctor of Philosophy (Ph.D.), Neurophysiology at Institute for Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences
Sheridan Center for Teaching and Learning, Ceritificates I-III, Sheridan Center for Teaching and Learning, Ceritificates I-III at Brown University
Master’s Degree, Biophysics, Master’s Degree, Biophysics at Moscow State University
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