Backend Engineer

Muhammad S Z is a Backend Engineer with several years of experience in high-performance systems, optimization workflows, and applied machine learning. He utilizes Python, C, and C++ to build robust tooling and machine learning pipelines, focusing on high-performance systems and optimization frameworks. His expertise extends to backend development with Flask and FastAPI, and he employs SQL databases for data management. Muhammad is proficient in using scientific libraries such as NumPy, SciPy, and Pandas, and he integrates CI/CD practices to ensure efficient and scalable software delivery. At SOCO Engineers GmbH, he automated large-scale CAE workflows and developed the ShapeModule optimization framework for BMW, leveraging C++ and Python. He also built OptiSense, a comprehensive optimization pipeline that combines DOE techniques, surrogate models, and neural networks, enhancing performance in engineering simulations. Muhammad holds a BE in Electrical Engineering from SEECS, NUST. He is well-suited for roles that require building efficient, scalable, and mathematically rigorous software, particularly in industries focused on engineering and scientific computing.