Davis Davalos-delosh is a research-focused software engineer with 10 years of experience, currently a Research Intern in Dr. Ravi Mangal’s Trustworthy Systems Lab at Colorado State University working on AI safety, LLM trustworthiness, and adversarial ML. He specializes in developing adversarial attacks against code-generation models and AI agents, probing Chain-of-Thought faithfulness, and building tooling for mechanistic interpretability and experimental analysis. Davis combines hands-on systems and cloud-native testing experience from graduate teaching and networking research with applied ML research, producing measurable improvements in video conferencing QoE and contributing to publications. Based in Fort Collins, he blends rigorous CS training from the University of Colorado Boulder with interdisciplinary research on human factors and VR, and has a practical bent for turning experiments into reproducible software and publishable results. An uncommon strength is his ability to span low-level concurrency and networking work up to high-level LLM safety evaluations, making him effective at bridging theory and implementation.
10 years of coding experience
1 year of employment as a software developer
Japanese, Japanese at Kyoto JaLS
High School Diploma, Computer Science, High School Diploma, Computer Science at Poudre High School
Associate's degree, General Studies, Associate's degree, General Studies at Front Range Community College
Master's degree, Computer Science, Master's degree, Computer Science at University of Colorado Boulder College of Engineering & Applied Science
Adds a new fading effect for the Golang Beep library
Contributions:10 commits, 9 pushes, 1 branch in 1 year 4 months
golangaudio-playeraudio-processingsoundsbeep
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Davis Davalos-delosh - Research Intern at Colorado State University