Talhah Ansari is a Research Associate and TUM M.Sc. graduate in Computational Mechanics with two years of hands-on experience bridging high-fidelity simulation, experimental testing, and machine learning for structural and reliability problems. He has applied Python, MATLAB, CAD and FEA across aerospace (Rolls-Royce turbomachinery lifing and surrogate-assisted reliability-based optimization), power-tool dynamics (Hilti clutch and vibration absorber design with dramatic MBS speedups), and non-destructive testing workflows that combine CT segmentation and ANSYS validation. Talhah’s work emphasizes automating complex workflows and building low-fidelity neural surrogates to accelerate design optimization while retaining fidelity — an approach proven in his turbine disc weight-optimization thesis. Equally comfortable on the shop floor and in code, he pairs international standards-based testing with data-driven modeling to deliver pragmatic, performance-focused engineering solutions.
2 years of coding experience
4 years of employment as a software developer
High School Diploma, 94.4%, High School Diploma, 94.4% at International Indian School, Jeddah
Master of Science - MS, Computational Mechanics, Master of Science - MS, Computational Mechanics at Technical University of Munich
Bachelor of Technology (B.Tech.), Mechanical Engineering, 9.81/10.0 (German equivalent 1,0), Bachelor of Technology (B.Tech.), Mechanical Engineering, 9.81/10.0 (German equivalent 1,0) at Jamia Millia Islamia
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
Contributions:35 reviews, 14 PRs, 40 pushes in 1 year
mpipythonbsd-licensemodularityc-plus-plus
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