Summary
Joseph Wecker is a researcher and seasoned software leader with 14 years of experience building scalable systems, shipping full-stack products, and founding multiple startups. He blends deep systems and ML/AI expertise with product design, UX, marketing, and operational automation, moving fluidly between hands-on engineering and executive leadership. His recent stealth research integrates control theory, causal inference, and information theory into a formal Agentic Systems Framework, with open-source artifacts and empirical LM representation work poised for academic publication. Past roles include critical early engineering and monetization work at Twitch and executive engineering leadership at Angel Studios, where he helped navigate high-stakes turnarounds. Equally comfortable in Rust systems work and higher-level ML research, he publishes tooling (Archema, UDON, Autopax) that targets production-quality agent substrates. Based in Lehi, Utah, he pairs startup grit with a strategic CTO education from UC Berkeley and an unusual focus on provable architectural guarantees for adaptive agents.
14 years of coding experience
20 years of employment as a software developer
The University of Utah
Certificate of Excellence in Technology Strategy CTO Executive Program, Certificate of Excellence in Technology Strategy CTO Executive Program at University of California, Berkeley, Haas School of Business
English, Tagalog