Summary
Amir Keramatian is a Senior Data Scientist based in Gothenburg with a PhD in Computer Science and seven years of industry experience applying distributed and parallel computing to large-scale machine learning problems. His work spans clustering, algorithm design, signal processing, and LIDAR-based object detection, blending academic rigor—multiple publications and a prestigious VR research grant—with hands-on product experience at Smart Eye and now Capgemini. He specializes in approximation methods that make massive datasets tractable and has moved research prototypes toward real-world deployments in perception and analytics. Comfortable across the stack from data engineering to algorithm development, he also brings prior full-stack and Linux development experience that helps bridge research and production.
7 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Chalmers University of Technology
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Sharif University of Technology
Isfahan Math House
Diploma, English, 86.5, Diploma, English, 86.5 at Iran Language Institute
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Isfahan University of Technology
Sadat High school