Summary
Saeed Falahat is a scientific programmer and ocean model developer with 11 years’ experience combining numerical geophysical fluid dynamics, high-performance computing and production forecasting at SMHI. He specializes in optimizing and extending the NEMO ocean model and building performant data-analysis pipelines in C, C++ and Python for massively parallel environments. His work spans developing streaming and memory-efficient tools for large forecast datasets, interpolation and time-series analysis, and open-source projects like COCEAN and CFORALL that reflect practical day-to-day tooling needs. With a PhD on ocean waves and tides and prior experience as a database manager, he bridges deep domain science and pragmatic systems engineering to deliver readable, high-performance software for operational oceanography.
11 years of coding experience
Doctor of Philosophy - PhD, Phd, Doctor of Philosophy - PhD, Phd at University of stockholm
English, Swedish