With over a decade of experience spanning government, academia, and applied research, I specialize in developing software solutions at the intersection of mathematics, neuroscience, and national security. I hold a Ph.D. in Mathematics from Temple University and currently serve as an applied mathematician at the U.S. Department of Defense. 🔧 My work bridges theory and application: from building real-time virtual neuron simulators in Unity and mesh generation tools in C++/Python, to implementing machine learning-based recommendation systems and parallel computing pipelines using MPI and OpenMP. 🧠 My projects integrate: Computational neuroscience (e.g., Neuro-VISOR, NeMo-TMS, CalcSim) Secure, high-performance scientific computing Applied cryptologic algorithms Full-stack software workflows using GitHub, CMake, SonarCloud, and CI/CD Below are some of my repositories

My current work involves generating water tight meshes of neurons given the 3D graph specification. First, I take a raw path in 3D space, then perform a spline interpolation, and then I generate a parallel frame transport (PFT) surface along the interpolated spline.

Mesh Generation I have been able to generate surface meshes for the geometry Note: the branch points and soma point needs to be resolved nicely My next two goals involve making a ugx viewer and then make water-tight meshes that are resolved at branch points.

| Language / Software | Logo | Language / Software | Logo | |------------------------|----------------------------------------------------------------------|------------------------|----------------------------------------------------------------------| | Python | | Shell Scripting | | | C / C++ | | Markdown | | | Unity | | CMake | | | MATLAB | | VSCode | | | Jupyter Notebook | | Linux OS | | | Windows OS | | macOS | | | LaTeX | | MS Office (Generic) | | | MS Word | | MS PowerPoint | | | MS Outlook | | GitHub Actions | | | Anaconda | | GitLab | | | Bitbucket | | |

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