Computer Science & Data Science

Hi, I'm Aidan Levy.

I build neural networks, cryptographic utilities, DSP pipelines, and parallel C/MPI systems for real engineering problems.

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About

I am a Computer Science (Foundations, Algorithms, and Artificial Intelligence focus) and Data Science student with interests in artificial intelligence, high performance computing, and digital signal processing.I enjoy building technically challenging, useful systems that allow me to learn something real along the way.

Recent work includes convolutional neural networks for facial emotion recognition, semi-supervised models, OpenMPI-based linear algebra in C, and a set of practical tools for working with PDFs and audio.

Outside of computing, I am also a Brazilian Jiu Jitsu coach at Padawan Jiu Jitsu. You can learn more at padawanjj.com.

Portrait of Aidan Levy

What I enjoy working on

  • Neural networks (PyTorch) and practical ML
  • High performance C / C++ with MPI & OpenMP
  • Digital signal processing & audio tools
  • Security-minded backend and automation scripts

Projects

These projects demonstrate my software engineering interests related to computer science and data science.

Matrix

A full linear algebra engine in C featuring matrix multiplication, REF, RREF, LU decomposition, and OpenMPI-based parallelization. Includes benchmarks, speedup analysis, and a complete test suite.

  • C
  • OpenMPI
  • HPC
View on GitHub

Salisbury University DSP

A digital signal processing toolset including real-time filtering, compression prototypes, FFT visualizations, and a web-based interface written in Python and React.

  • Python
  • DSP
  • Audio
View on GitHub

ByteScatter

A cryptographic utility written in Python focusing on efficient randomization, secure shuffling, optimized operations, and future expansion into encryption workflows.

  • Python
  • Cryptography
  • Security
View on GitHub

GateKeeper

A Flask-based password vault with client-side encryption, device verification, role-based access control, SHA-256 password hashing, and secure credential storage. Fully deployed and functional.

  • Python
  • Flask
  • Security
View on GitHub

Experience

Recent technical and leadership roles that align with my work in systems, networking, and teaching.

Network Engineer Intern

June 2024 – Present • Salisbury, MD

  • Responsible for maintenance, upgrades, and provisioning of 200+ Aruba-635 wireless access points across campus.
  • Provide ticket-based support, troubleshoot network issues, patch cables, and identify root causes of connection failures.

Padawan Jiu Jitsu Founder

January 2023 – Present • Ocean View, DE

  • Founded and operate a Brazilian Jiu-Jitsu school serving 50+ clients, handling marketing, operations, client relations, and finances.
  • Built and maintain an online presence to expand outreach, manage scheduling, and drive client engagement.
View Padawan Jiu Jitsu Website

Computer Lab Assistant

August 2024 – Present • Salisbury, MD

  • Assisted 100+ students in COSC-220 (Computer Science II) and COSC-117 (Programming Fundamentals).
  • Help students debug code and understand core programming concepts during lab sessions.
  • Provide guidance on logic, syntax, and problem-solving strategies during labs and weekly office hours.

Tech Stack

I work across systems, AI, and backend development. Below are my strengths in those categories.

Languages & Core

  • C / C++ – systems programming, matrix libraries, OpenMPI projects
  • Python – ML experiments, data scripts, Flask backends
  • Bash / Linux CLI – automation, environment setup, tooling

Systems & High-Performance Computing

  • MPI (OpenMPI) – parallel matrix multiply, REF/RREF, LU on distributed processes
  • OpenMP – shared-memory parallelism and loop-level speedups
  • Performance analysis – timing, speedup, efficiency, and scaling experiments

Machine Learning & Data

  • PyTorch – CNNs (e.g., FER2013), semi-supervised models
  • NumPy / pandas – numeric work, data cleaning, preprocessing
  • Matplotlib – training curves and performance visualizations

Web & Backend

  • Flask – lightweight backends and small APIs
  • Security patterns – client-side crypto, device registration, hashing, tokens
  • HTML / CSS / JS – this portfolio and small frontends on GitHub Pages

Tools & Workflow

  • Git & GitHub – SSH, branching, private course monorepos, Pages deploys
  • Linux (Fedora, Debian, Kali) – primary dev and security environment
  • VSCode / Jupyter – debugging, experimentation, reports

Contact

Want to talk about a project, internship, collaboration, or anything technical? The best way to reach me is by email.

aidanjlevy@gmail.com

You can also reach out on LinkedIn.