Hey, I'm Bryant 👋
Machine Learning and AI Engineer & Researcher
Current Role
I'm currently a Machine Learning Engineer at Abstract, where I build AI tooling for customized government policy, legislation, and regulation tracking and tailored analyses in our goal towards achieving our mission of making government more transparent and accessible.
Education & Research
I graduated with my Master's in Computer Science from Texas A&M University, specializing in Machine Learning algorithms. My thesis paper, HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection, was accepted and presented at the IEEE/CVF WACV 2025 Workshop.
My undergraduate journey took me through a BS in Applied and Computational Mathematics (ACME) with a Linguistics emphasis from Brigham Young University, where I discovered my passion for the intersection of mathematics and language.
Projects & Applications
Beyond my research and professional work, I enjoy building practical applications that solve real-world problems. My Saga Family Trees integrates with Family Search private API or optionally functions with Ancestry GEDCOM files and uses custom algorithms to automatically create beautiful family trees, making genealogy accessible and visually appealing for families worldwide.
International Experience
I served a 25-month volunteer mission in Poland, where I became fluent in Polish. This experience sparked my interest in linguistics and multilingual communication. I've since studied Spanish, Russian, and continue to explore the fascinating world of Computational Linguistics and Natural Language Processing.
Personal Life
I'm married to my wonderful wife Taylor, and we have two amazing boys, Cohen and Milo, and a third on the way. When I'm not spending time with my family, you'll find me playing soccer, reading Brandon Sanderson, or maybe working on a personal project.
Let's Connect
I'm always interested in discussing new opportunities, collaborating on projects, or simply chatting about ML and NLP. Feel free to reach out!