Riley Howsden is a professional half-stack machine learning propagandist working in the gaming industry with experience at Riot Games, Electronic Arts, and Singularity 6. When asked “which half of the stack he excels at”, his response was simply “it depends on the day.'' He does all the Python things associated with a machine learning pipeline, from distributed computing, mainly in the Spark framework, to model training and deployment. Riley’s most recent data science endeavors have focused on recommender systems and deep learning sequence models. While he enjoys technical work, his superpower is transforming ambiguous data science solutions into high-impact product pitches, all while using those pitches as a platform for bombarding people with magnificent memes and dreadful dad jokes. More recently, he has focused on interacting and growing the work of others instead of his own; due to this additional social interaction, he can now hold eye contact for an entire 7.2 seconds without looking away. Outside of traditional machine learning work, Riley is also interested in operations research, behavioral economics, discrete optimization, and reinforcement learning. Some of his lesser accomplishments include: • Taking a CS 101 course in C++ in college and not putting it on his resume • Counting all the successful “AI for BI” startups on one hand • Dunking a basketball after 33 attempts • Speaking out against “Clustering” abuse • Submitting model photos to FarmersOnly.com and being rejected