Rohit Goswami is a researcher and open-source contributor passionate about scientific computing and Python’s role in high-performance workflows. As a core contributor to F2PY and NumPy, he works on improving interoperability between Python and Fortran. He is also active in the research software engineering community, advocating for sustainable scientific computing.
Beyond code, Rohit enjoys technical writing, open-source education, and sharing knowledge through workshops and community projects. His research explores Bayesian machine learning methods for modeling complex physical systems.