Principal Applied Scientist AI Security at Confidential Core AI
Portland, Oregon Metropolitan Area United States
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Summary
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Rockstar
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Anthony is a Principal Applied Scientist specializing in AI security and generative AI safety, combining a PhD in Mathematical Sciences with dual MS degrees in Mathematics and Computer Science to ground practical systems in rigorous theory. Over 15 years across industry and academia, he has translated mathematical first principles into deployed AI/ML systems that delivered over $1B in measurable impact and earned him 38 patents and 31 peer-reviewed publications in venues like NeurIPS and CVPR. At Intel he shaped research and IP strategy—serving on the AI Compute Patent Committee—and led projects from deepfake detection to model compression and uncertainty quantification for production workflows. He now leads end-to-end guardrail development for LLM-powered agentic applications, building safety pipelines (SFT, DPO, RLHF), multi-axis content taxonomies, and red-teaming evaluation frameworks. A seasoned instructor who taught 33 graduate courses to 1,000+ students while maintaining an active research agenda, he blends pedagogy with hands-on deployment experience. Notably, his work bridges computational epistemology and adversarial robustness to make interpretable, trust-calibrated models suitable for safety-critical environments.
5 years of coding experience
8 years of employment as a software developer
University of California, San Diego
Doctor of Philosophy - PhD, Mathematical Sciences, Doctor of Philosophy - PhD, Mathematical Sciences at Portland State University
A GitLab API client enabling Go programs to interact with GitLab in a simple and uniform way
Contributions:2 pushes, 1 tag in 1 day
golangapiapi-clientgitlab-apigitlab
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