Summary
Dillon Pulliam is a Managing Machine Learning Engineer with eight years of experience building and leading research-driven AI teams and products. He has progressed from hands-on research roles at Northrop Grumman and AssemblyAI—where he led development of production NLP features like summarization, topic detection, and content moderation—to founding a fintech SaaS and now managing ML at Toyota Connected North America. Dillon blends deep research expertise (MS ECE from Carnegie Mellon) with product and engineering execution, routinely shipping research monorepos and leading multi-discipline teams across NLP, RL, and research engineering. He brings an entrepreneur’s perspective to enterprise ML, having designed and built a wealth-management backend while navigating finance, operations, and legal realities. Based in Dallas, he’s as comfortable tuning models and code as he is translating technical strategy into scalable business outcomes.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Kentucky
No degree earned, No degree earned at Transylvania University
Master of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at Carnegie Mellon University