Summary
Jordan Hart is an experienced software engineer with 11 years in applied machine learning and autonomous systems, currently working in the San Francisco Bay Area. As a founding engineer at Explorer.ai and later a key contributor at Standard AI, he built production ML infrastructure for mapping and autonomous checkout systems that handled hundreds of miles of sensor data and sub-second cloud triggers for on-demand vehicle data capture. He mentors across the stack and has led company-wide projects that translate product vision into end-to-end systems, blending applied AI, backend, and frontend considerations. More recently he serves as a Senior AI Software Engineer at Spot AI while also being affiliated with Anori, demonstrating continued focus on real-world perception and data platforms. Jordan’s background includes research-oriented internships at Intel (flexpoint for Deep Speech 2) and product-focused blockchain and prototyping work at Cisco, reflecting a mix of rigorous deep learning R&D and rapid prototyping experience. He holds a CS degree from UC Berkeley and a Master's from Georgia Tech, combining strong academic training with hands-on startup execution.
11 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of California, Berkeley
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Middleton High School