Taimoor A.

I run CFD, FEA, and scientific ML simulations for people who need the numbers to hold up, not just look right, using ANSYS, custom-built solvers, and PyTorch depending on which one actually answers the question. I've recieved a Gold Medal for the best undergraduate thesis, NUST High Achievers Award out of a cohort of more than 15,000, and research presented at ICoDT2 2024. CFD Services Using ANSYS Fluent, ANSYS CFX, and custom finite volume solvers built from scratch: - Aerospace and hypersonics: external aerodynamics, scramjet flowpaths, shock and boundary layer interaction up to Mach 8, supersonic ejectors - Turbomachinery: centrifugal pumps, radial compressors and turbines, cavitation and NPSHr prediction - Automotive and industrial aerodynamics: bluff body drag, external flow, grid independence studies - Hydraulic structures: gate flow, cavitation risk, jet contraction in dam outlets - Thermal and industrial cooling: cooling tower recirculation, conjugate heat transfer - Custom solver development: HLLC and Rusanov schemes for shock tubes and nozzle flows, validated against exact solutions and commercial codes FEA Services Powered by ANSYS Mechanical and ANSYS Workbench: - Structural integrity: static, modal, buckling, nonlinear contact for industrial and aerospace components - Composite structures: laminated beam-columns, classical lamination theory, ply stacking effects - Thermal-structural coupling: laser material processing, friction stir welding, transient thermal loads - Fatigue and dynamic loading: aerospace struts, industrial lifting equipment - Explicit dynamics in LS-DYNA: drop impact, crashworthiness, lattice-reinforced structures, blast response on layered composites Scientific Machine Learning Backed by hands-on work with PyTorch and reduced-order modeling: - Physics-informed neural operators and Fourier neural operators for Burgers, Darcy flow, and compressible Euler equations - Neural ODEs for learning nonlinear dynamical systems - POD, DMD, and Galerkin reduced-order models calibrated against experimental PIV data - Gradient-boosted surrogates for replacing iterative solves in design sweeps CAD and Product Design Using SolidWorks and MATLAB-driven design tools: - Parts, assemblies, and GD&T drawings - Propeller, gear train, and turbomachinery blade design (ANSYS BladeGen) - UAV structural and aerodynamic design, from concept through flight validation How I work Every CFD job gets a mesh independence study and, where a validation source exists, a stated error against it rather than a hidden one. Every explicit dynamics run gets an energy balance check with hourglass energy kept under 10 percent. If something is not solvable in the stated budget or timeline, I say so before we start. One round of revisions is included on every project. Send me the geometry, the load or flow conditions, and the decision you are trying to make.