Skills

I work across low‑level HPC and high‑level data science. Below is a concise view of my core programming languages, simulation stack, parallelism, and analysis & visualization tools.

Programming Languages

C++

Modern C++ for numerics and performance.

STLTemplatesProfiling

Python

Data, ML pipelines, and glue code for simulators.

NumPyPandasSciPy

MATLAB

Rapid prototyping & visualization.

ToolboxesOptimization

R

Statistics & plotting when needed.

ggplotdplyr

Fortran

Legacy solvers & HPC kernels.

F90+Numerics

Simulation & CAE

ANSYS

CFD workflows and validation.

FluentMeshing

COMSOL

Multiphysics modeling & prototyping.

PDEsParametric

Anaconda

Reproducible Python environments.

CondaVirtualenv

Parallelism & Acceleration

MPI

Domain decomposition on clusters.

OpenMPIMPICH

OpenMP

Shared‑memory parallel patterns.

PragmasAffinity

GPU

CUDA kernels & accelerators.

KernelsProfiling

Maple

Symbolics for derivations.

CASAlgebra

Visualization & Legacy

ParaView

Post‑processing at scale.

VTKFilters

Tecplot

CFD plotting & analysis.

MacrosLayouts

FoxPro

First databases (legacy).

1999DBF

Pascal

Foundations in CS.

AlgorithmsBasics