I am a Computer Science and Data Science undergraduate junior at Salisbury University on foundations, algorithms, and artificial intelligence focus. Additionally I work on high performance computing (MPI or OpenMP), machine learning (PyTorch, scikit-learn), systems programming, and applied parallel algorithms. I build practical tools, research driven projects, and optimized C/C++ implementations that emphasize clarity and performance.
Languages: C, C++, Python, R, Bash, JavaScript Core Areas:
- High Performance Computing (MPI, OpenMP, parallel algorithms)
- Machine Learning & Deep Learning (PyTorch, scikit-learn, CNNs, ANNs, MLPs)
- Systems Programming (C, memory models, Linux)
- Data Analysis & Statistics (R, Shiny, ggplot)
Tools & Platforms: Linux (Fedora, Debian, Ubuntu), Git, Github, React, Flask, LaTeX, Jupyter, VSCode, Docker
Parallel REF, RREF, LU, and matrix multiiplication in C using MPI. Includes:
- Scatter/Gather parallelism
- Strong/weak scaling data
- LaTeX formatted research paper
Tech: C, MPI, Linux Focus: Distributed algorithms and performance optimization
A browser based interface for audio effects with customizable parameters. Includes drag and drop effect ordering and region based processing.
Tech: React, Python, DSP Focus: Software engineering, signal processing
- LinkedIn: https://www.linkedin.com/in/aidanlevy/
- Email: [email protected]
- GitHub: https://www.github.com/AidanLevy05
- Distributed linear algebra
- Applied deep learning
- Digital signal processing
- Systems level performance engineering