Summary
Chris Gomez is an AI engineer blending 11 years of applied experience in machine learning, neuroscience-informed modeling, and software engineering to build practical, ethically minded AI systems. He holds a master's in computer science and dual undergraduate training in computer science and neuroscience, and has shipped ML-driven solutions from geospatial classifiers to graph neural network metamodels and on-device CNN experiments. Chris has contributed to both startup and government-facing projects—leading technical strategy for a legislative AI drafting platform and now applying his expertise at Booz Allen Hamilton—while earning recognition as a Microsoft MVP. A first-generation, independent student and experienced community organizer, he brings uncommon empathy and science communication skills to interdisciplinary teams, making complex AI concepts accessible to nontechnical stakeholders.
11 years of coding experience
1 year of employment as a software developer
Masters, Computer Science, 4.0, Masters, Computer Science, 4.0 at University of Massachusetts Amherst
Portuguese, English, Spanish