Summary
Michael Graczyk is a seasoned software engineer and startup CTO with 12 years of experience building ML-driven products and infrastructure across Silicon Valley. He cofounded and led engineering at startups (including a crypto crowdfunding platform and Quilt, backed by Sequoia) and has held technical leadership roles at Google, Instagram, and comma.ai. His work spans computational photography, on-device ML optimization for tensor accelerators, real-world autonomous-driving model deployment, and production-grade C++ DSP systems—bridging research and shipping reliable systems at scale. Currently at Anthropic, he focuses on making AGI “go well,” bringing both hands-on model and systems expertise to safety-oriented AI. He pairs advanced degrees in electrical engineering and applied mathematics with a track record of fundraising, acquisitions, and deploying ML in safety-critical, resource-constrained environments. Colleagues know him for moving between deep technical detail and product-facing engineering quickly, often turning research prototypes into production features.
13 years of coding experience
12 years of employment as a software developer
BSEE Electrical Engineering, BSEE Electrical Engineering at The University of Texas at Austin
Master of Science (MS) Electrical Engineering, Master of Science (MS) Electrical Engineering at Stanford University