Akram Elsaidy

Junior Developer @Catalyst

Led the research, implementation, and optimization of advanced phase denoising algorithms for InSAR Imagery such as Non-Local Means and 3D Block Matching in PythonAchieved a 90% runtime improvement through parallelization, vectorization, as well as using optimized libraries such as JAX and NumbaSelf-taught key geospatial and InSAR concepts, collaborating with peers to build the domain knowledge needed for algorithm design and implementationSpearheaded the modernization of 3 legacy Fortran algorithms into C++ and Python, significantly improving performance, maintainability and reducing technical debtDeveloped a Python tool to accelerate legacy algorithm retirement by automating codebase scans and file retrieval, leveraging multiprocessing for responsive performance