Behzad Tabari

AI Trainer - CAD Specialization

Munich, Bavaria, Germany
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Summary

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Behzad Tabari is an AI trainer and computational mechanics specialist based in Munich, combining three years of hands-on experience in physics-informed surrogate simulation, numerical methods, computational geometry, and machine learning. He bridges domain expertise in parametric CAD and manufacturing workflows with practical ML: his master's work produced a two-stage GNN pipeline for machining cost estimation and a 13k-sample synthetic CAD/CAM dataset to overcome data scarcity. At micro1 he evaluates and refines AI outputs for CAD, while prior roles at Tebis and TUM translated research-grade tools into production-ready Python bindings and graph-based representations for assembly planning and surrogate models. Comfortable moving between C++ bindings, Python toolchains, and graph neural architectures, he favors pragmatic, stochastic approaches to problem solving and enjoys probing beyond textbook answers.
code3 years of coding experience
job2 years of employment as a software developer
bookMaster's degree, Computational mechanics, Master's degree, Computational mechanics at Technical University of Munich
bookBachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at University of Tehran
languagesPersian, English, German
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Github Skills (21)

simulation9
mpi9
parallel-computing9
numerical-methods9
openmp9
cpp8
python8
multiphysics8
kratos7
extensibility7
bsd7
hpc6
nonlinear-optimization5
3d5
algorithms4

Programming languages (4)

C++CSWIGPython

Github contributions (5)

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behzadtabari/AI_projects

Oct 2023 - Jan 2026

Contributions:18 pushes, 3 branches in 2 years 3 months
Contributions:1 push, 1 branch in 1 year 1 month
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