Ryan t. McArdle
Artificial Intelligence | Machine Learning | Physics | Philosophy
AI and Machine Learning Engineer
I’m a machine learning specialist with backgrounds in physics, philosophy, and mathematics and a passion for using automation to solve problems, extract information, and eliminate pain-points. I have experience modeling and analyzing complex systems using technologies including NLP/GPT, CUDA accelerated PyTorch Lightning, and AWS and Azure cloud infrastructures. Particularly interested in formal systems, recursion, automata, and simulation, but eager to work within all areas of computer science and machine learning.
Areas of expertise
I have developed a range of machine learning and artificial intelligence applications including search, recommendation, and pattern recognition, as well as physical and mathematical simulation. Below is a sample of my public course work and academic research. Clicking on any of the buttons will bring you to the respective directory of my GitHub portfolio.
Data Mining
Projects which focus on large-scale data management, the construction of classification and regression models, and Naive Bayes text analysis.
Search and Logic
Planning, problem-solving, and game-playing algorithms such as A* and MiniMax implemented utilizing the AIMA Java code base.
Fractal Geometry
The production of iterative and self-similar structures using recursive functions and iterated function series through the Python Turtle drawing package.
Browser Automation
The automation of web browsers to complete repetitive tasks, including interacting with and scraping information from HTML webpages.
Evolutionary Computation
Design and optimization of functions using genetic algorithms and evolutionary strategies inspired by natural processes .
Cellular Automata
Explorations into cellular automata for artistic creation and simulations of life-like processes which are founded upon incredibly simplistic rules.
Physical Simulation
Simulations and research code, intended to reproduce physical interactions and model astrochemical processes during the reionization period of the early universe.
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