Bio
Python-driven engineer seeking roles in software engineering, development, optimization, or data innovation—anywhere I can leverage my coding, ML, automation, and analytical skills. Currently a research associate at TU Dresden, anticipating a PhD in Aerospace Engineering, I design hydrogen-powered aircraft using machine learning-based optimization and numerical aerodynamic load computations for finite element analysis. At the German Aerospace Center (DLR), I built ML surrogate models that cut 30,240 CFD evaluations—saving hours of high-performance computing time. For BMW, I enhanced topology optimization algorithms in MATLAB, boosting 3D vehicle structure efficiency. I’ve also automated data workflows with Python (Pandas, NumPy), developed real-time 3D visualization systems in VisPy, and crafted web apps with Java and JavaScript. I believe Web3 could be the future (Inshallah), and I’m excited to explore decentralized tech with my versatile skill set. More at javedab.com/en/about