Summary
Kevin Hernandez is a research-focused software engineer with 11 years of experience exploring AI’s societal impacts, specializing in AI governance, post-deployment incident monitoring, and human-centered ML applications. Currently contributing to frameworks for regulatory oversight at AI Standards Lab while researching AI-mediated political communication at Surveillance Technology Oversight Project, he blends technical engineering with policy-minded investigation. His work spans canonical data schemas and NLP pipelines at Cornell to building an AI tutor that doubled engagement for quantum education at Rice, underscoring a talent for turning research into practical, evaluated systems. Kevin has a track record in interdisciplinary labs—from health equity analytics to human-automation collaboration—and has engaged policymakers directly as a Congressional research delegate. Comfortable shipping production-quality tooling and publishing first-author work, he pairs rigorous empirical methods with product instincts and a knack for “workarounds” that keep complex projects moving. Based in Virginia, he combines academic rigor with startup-style execution to make AI safer, more accountable, and educationally accessible.
11 years of coding experience
2 years of employment as a software developer
High School Diploma Medicine, High School Diploma Medicine at Academy for Science and Health Professions at Conroe High School
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Rice University
Summer Venture in Management Program (SVMP), Summer Venture in Management Program (SVMP) at Harvard Business School
Spanish, English, French