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
Experience: 7 years
Yearly salary: $86,000
Hourly rate: $0
Nationality: 🇦🇹 Austria
Residency: 🇩🇪 Germany
Experience
Scientific Assistant: Data Engineering for Experimental Fluid Mechanics
Technical University Braunschweig – Chair of Fluid Mechanics, Germany 2021 - 2022
- Designed and implemented a structured data management system for experimental fluid mechanics research, ensuring efficient data organization, retrieval, and scalability - Developed Python-based automation scripts for filtering, processing, and converting experimental measurement data using Pandas and NumPy, while also performing manual data validation and corrections - Digitized and structured historical experimental data from research papers, ensuring consistency and accessibility for further analysis
Scientific Assistant: Machine Learning and Surrogate Modeling for Aerodynamics
German Aerospace Center (DLR) – Institute for Aerodynamics and Fluid Mechanics, Germany 2020 - 2021
- Developed machine learning-based surrogate models for multi-point mission analysis, replacing computationally expensive CFD simulations with efficient ML-driven approaches - Optimized gradient calculations by integrating ML-based surrogate models, reducing 30,240 CFD evaluations, each requiring approximately 3 hours on high-performance computing resources - Solved ordinary differential equations (ODEs) analytically, symbolically, and numerically
Scientific Assistant – Real-Time Aircraft Data Processing and 3D Visualization
Technical University Braunschweig – Chair: Flight Guidance, Germany 2020 - 2020
- Developed and implemented aircraft simulation models in MATLAB and Simulink to generate real-time flight data for 3D visualization - Received, processed, and optimized real-time aircraft data in Python via UDP, utilizing Cython, C++, and NumPy for enhanced data handling efficiency - Designed and developed a real-time 3D aircraft visualization system in VisPy, leveraging high-performance GPU acceleration for smooth rendering
Computational Engineer – Topology Optimization
BMW Group – Department: EF 242 2018 - 2019
- Enhanced a topology optimization method to enable large-scale 3D vehicle structure optimization, significantly improving computation time in MATLAB - Developed algorithms to control connection thickness, enforce minimum spacing, and prevent local reinforcements, ensuring manufacturability and structural feasibility - Engineered a method to prohibit connections at edges and corners in 3D-optimized structures, enhancing design robustness - Conducted finite element reanalysis (FEA) using OptiStruct to validate stiffness improvements, ensuring structural integrity and optimization efficiency
Scientific Assistant – Java and Web Applications Developer
Bergische Universität Wuppertal – Chair of Optimization of Mechanical Structures, Germany 2018 - 2020
- Developed, enhanced, and refactored Java-based software for visual evaluation of crash optimization results, improving data processing efficiency and analysis capabilities - Generated a standalone web application for analyzing crash optimization results, using Java to create HTML, CSS, and JavaScript files, enabling interactive data visualization, filtering, exploration, and analysis - Formatted and structured research content in LaTeX, ensuring professional presentation for publications and reports - Created and designed technical diagrams for scientific publications and presentations
Skills
ai
android
big-data
computer-science
data viz
data-science
engineer
git
java
javascript
linux
machine-learning
matlab
microsoft
pytorch
scientist
scikit-learn
tailwind
python
english
german
punjabi
urdu