Graduation-ready technical identity

CV Profile

Positioning for roles in scientific computing, numerical methods, simulation engineering, computational science, research software engineering, and applied mathematics.

Professional summary

PhD candidate in Computational Mathematics with focus on finite element methods, numerical PDEs, scientific computing, and PDE-based simulation for engineering and materials applications.

Technical interests include FEM implementation, sparse matrix assembly, time stepping, manufactured-solution verification, convergence studies, and MATLAB/Python scientific computing.

Target role titles

Scientific Computing Engineer
Numerical Methods Engineer
Simulation Engineer
Computational Scientist
Research Software Engineer
Applied Scientist / Modeling Engineer

Technical skills

Area	Keywords
Numerical methods	Finite element methods, numerical PDEs, weak forms, convergence, stability, BDF methods.
Scientific computing	MATLAB, Python, NumPy/SciPy direction, sparse matrices, visualization, reproducible results.
Applications	Heat transfer, diffusion, phase-field modeling, materials simulation, rapid solidification, multiphysics coupling.
Research workflow	Manufactured solutions, verification tables, technical reports, publication-style figures.
Teaching	Calculus III lab, vector calculus, multivariable calculus, student support, grading, technical communication.

CV bullet examples

Developed a reusable MATLAB finite element framework for PDE-based simulation models.
Implemented sparse matrix assembly, boundary-condition handling, time-stepping schemes, and visualization routines.
Verified numerical solvers using manufactured solutions, convergence tables, and error analysis.
Built case studies for elliptic, parabolic, and phase-field-type PDE models.

Downloadable CV

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