Summary
Quinn Johnson is an engineer and founder with 11 years of experience building production ML tooling, real-time perception systems, and high-performance web visualizations. He co-founded Aquarium to streamline ML team workflows and previously led Ground Truth Engineering at Cruise, scaling labeled data pipelines that powered autonomous vehicle perception. At Graphistry he pushed GPU-accelerated, WebGL-based visual analytics to handle millions of elements, and at Ouster he connected cloud infrastructure to real-time lidar perception stacks. Now at Notion he’s working on agentic AI experiments, applying a blend of systems thinking and product-focused engineering. Quinn’s background spans low-level performance optimization to orchestration of cross-functional ML teams, and he’s particularly skilled at turning data infrastructure challenges into production-ready developer experiences. Based in Oakland, he brings startup grit plus experience shipping mission-critical systems at scale.
11 years of coding experience
11 years of employment as a software developer
Electrical Engineering and Computer Science, Electrical Engineering and Computer Science at University of California, Berkeley