TAMUhack: Texas A&M University’s largest annual hackathon (800+ hackers). I manage food, prizes, and sponsors worth over $70,000 for two hackathons each year. In addition, I help maintain the organization website which is used by 4000+ users each event cycle.

Vice President and Founding Member of Aggie Data Science Club: Texas A&M's premiere organization dedicated to teaching and learning about data science. Source contacts from 20+ companies including Google, Apple, GM, Charles Schwab, and more, 30+ university professors, 500+ A&M students, and multiple members of academia. I help teach internal sub-groups about the facets of the data science lifecycle using standard techniques involving Python

IT Lead at Art Etc., a place for all TAMU undergraduate, graduate, and faculty to find their creative freedoms and explore their artistic goals freely. I design from scratch and maintain website through three iterations. Handle technological issues regarding logistics and membership communications.

Quantitative Trader for Rath Research under the Reveille Fund at Texas A&M. I manage a Quant Silo in a net $8M investment Fund. We utilize ensemble and NeuroEvolution of Augmenting Topologies (NEAT) neural networks to make stock picks as benched against the S&P500.

Student Researcher at the Brain Networks Lab at Texas A&M utilizing Reinforcement learning, NeuroEvolution of Augmenting Topologies (NEAT), Delayed feedback Neural Networks, and novel environments to research the evolution of memory in neural networks to elucidate how we humans might have developed our own memory.

Student Researcher at the Embedded Systems Processing Lab at Texas A&M utilizing classification methods, anomaly detection algorithms, and supervised learning to study how we can predict fevers through sleep data.

ML engineer at fledgling startup Assethub focused on 3D from 2D game assets to ease the development of indie games utilizing stable diffusion techniques.