🔭 Currently working on: Kitpp – A C++ Utility Library
A modular C++17 utility library for HPC. Features thread-safe logging, scope timers, throughput benchmarking, and resource tracking. Supports Meson & OpenMP.
🌱 Research focus: Sparse Linear Algebra, GMRES/Krylov Methods, MFEM, Slurm, and Large-Scale Finite Element Simulations (C/C++)
💬 Ask me about: High Performance Computing (HPC), sparse matrix formats (CSR/COO/BSR/ELL/VBR), distributed systems, or Linux
📫 Reach me:
😄 More info: Personal Site
⚡ Fun fact: I graduated in Manufacturing Engineering, then pivoted into HPC research and scientific computing.
Legend: 1–10 scale (10 = sharpest, 1 = mostly forgotten). Constantly evolving.
Systems & Core
- C++ (Modern, post-C++11) — 9
- C++ (pre-C++11) — 9
- C — 9
- Java (JDK-11, Spring Boot) — 8
- Assembly — 7
- Odin — learning (new focus!)
- Zig — learning
Web & Full-Stack
- HTML5 / XHTML — 9
- CSS — 8
- TypeScript — 8
- ReactJS (with JHipster + TypeScript) — 8
- NodeJS — 8
- JavaScript — 7
- PHP — 4
Data & Scripting
- SQL (PostgreSQL primary; occasional MySQL) — 8
- Shell (.sh – Linux) — 6
- Batch (.bat – Windows) — 4
- PowerShell (.ps1 – Windows) — 4
- Python — 4 (brace & semicolon enjoyer 🤓)
- R — 4
- Go — 3
- C# — 3
Specialties & Other Experience
- MPI / OpenMP — 8
- Slurm / HPC tooling — 7
- MFEM / FEM workflows — 7
- Ladder Logic (Allen-Bradley PLC) — 5
- Pinescript (TradingView) — 2
- G & M Code (CNC, Fadal M-Codes) — 2
- Fortran — 1
- Ruby, Perl — 1
- Historical Languages (LISP, LOGO, Pascal, COBOL, BASIC on Apple II) — 1
Empirical benchmarking of sparse matrix storage formats (CSR, COO, BSR, ELL, VBR, Skyline) and their impact on iterative solvers (GMRES/Krylov). Focus on memory footprint vs solver scalability for large finite-element systems.
Large-scale FEM simulations targeting multi-node clusters with attention to:
- Sparse operator storage
- Krylov subspace growth
- Memory-bandwidth bottlenecks
- Strong vs weak scaling behavior