Summary
Ali Soleymani is a data specialist and geospatial scientist with eight years of industry experience applying machine learning, location intelligence, and scalable data engineering across automotive, mobility, insurance, and consultancy domains. He blends deep academic training (PhD in GIScience) with hands-on leadership building global-scale geospatial pipelines, traffic datasets for NeurIPS competitions, and production-ready ML benchmarks at HERE and D ONE. Comfortable across Python/R, SQL/NoSQL, cloud platforms and containerized distributed systems, he translates complex spatial analytics into actionable business insight for stakeholders. A pragmatic communicator and workshop facilitator, he has steered platform selection for geospatial applications and prototyped LLM/NLP solutions in LegalTech. Notably, his work on large movement datasets and geospatial UDFs demonstrates a penchant for turning noisy location traces into deployable, high-impact products.
8 years of coding experience
12 years of employment as a software developer
PhD GIScience / Geography, PhD GIScience / Geography at University of Zurich
High school diploma (matura) Mathematics and Physics, High school diploma (matura) Mathematics and Physics at Shahed High School
Master of Science (M.Sc.) GIS Engineering, Master of Science (M.Sc.) GIS Engineering at University of Tehran
Kurdish, Persian, English, German