Summary
Gerald Lovel is an AI mobile language product manager with 14 years of experience at the intersection of data, hardware, and user-centric product design, currently driving AI and ML adoption at NVIDIA. He previously led product strategy and cross-functional launches for GPU and application platforms at Google, pairing technical fluency with go-to-market execution. Trained in information engineering at UC Berkeley and Shanghai University, Gerald blends deep technical understanding with account and business development experience from Intel. He is passionate about closing deals that fuel breakthrough growth and creating consumer-facing digital experiences, while prioritizing people-first collaboration across disciplines. Notably, he focuses on making advanced GPU and AI capabilities accessible and scalable for real-world customers rather than just cutting-edge demos.
14 years of coding experience
15 years of employment as a software developer
Master of Science in Information Engineering Information Technology, Master of Science in Information Engineering Information Technology at University of California, Berkeley
Bachelor's degree Bachelor's Degree in Information Engineering, Bachelor's degree Bachelor's Degree in Information Engineering at Shanghai University