
Accelerate: The Science of Lean Software and DevOps Review
A practical, evidence-backed review of the definitive DevOps and software delivery performance book.
Hello! I’m Ryan — I love learning and building new things. Here you’ll find a collection of projects I’ve created for fun, for coursework, and some books I’ve read along the way.

A practical, evidence-backed review of the definitive DevOps and software delivery performance book.

An exploration of the pivotal role of a Staff Engineer in technology companies

Building a fullstack React/GraphQL/Django card game

A review of the canonical engineering management book

Trying out VueJS with the NASA API

Building a template to deploy React solutions built on top of SharePoint.

A survey of machine learning topics including supervised, unsupervised, clustering and dimensionality reduction, and reinforcement learning

A practical look at Random Hill Climbing, Simulated Annealing, Genetic Algorithms, and MIMIC applied to neural network weight tuning and classic optimization problems.

Exploring clustering, Gaussian mixtures, and dimensionality reduction methods (PCA, ICA, RP, RF) on the Wine and Abalone datasets.

Exploring Value Iteration, Policy Iteration, and Q-Learning in stochastic grid worlds, comparing convergence, rewards, timing, and behavior across easy and hard MDP environments.

A look at using Watson AI to select courses based on your personality

Dashboard to visualize GitHub repositories, code languages used, and connections to other repos.