Summary
Noah Caulfield is an AI Test Engineer and MSCS student at Georgia Tech with a decade of hands-on experience testing and hardening AI systems. Based in Santa Fe, he has driven data quality and factual verification at scale, consistently maintaining accuracy scores above 90% while meeting tight throughput targets. His SDET work includes RLHF ranking, adversarial red-teaming, truthfulness auditing, and validating AI-generated code across Python, Java, and SQL—skills that translate into practical safeguards for model deployment. Noah also built full-stack digital products early in his career for a New Mexico youth nonprofit, coupling technical delivery with community impact. He’s actively seeking summer 2026 internships and roles in New Mexico and the Southwest, bringing both rigorous QA instincts and a knack for discovering subtle edge cases that reveal latent model failures.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Eastern New Mexico University
Spanish, English, German