Kenny Song is a Co-Founder and CTO with 12 years of experience building production ML systems and reliable AI infrastructure, currently focused on making critical AI systems more dependable at Citadel AI. He previously led product efforts on Google Brain, shipping TensorFlow Extended pipelines and AutoML, and started his product career optimizing Google Search UX and Shopping knowledge infrastructure. A strong engineer at heart, he wrote open-source NAT traversal libraries and contributed backend NAT diagnosis logic to the uProxy peer-to-peer project, demonstrating hands-on networking and systems skills beyond product management. Academically summa cum laude in CS and Math from NYU Shanghai and a Government Scholar in Machine Learning at the University of Tokyo, he blends rigorous theory with product execution. He also has a track record of founding community-driven initiatives—creating Shanghai’s largest university hackathon and founding an SAT prep nonprofit—showing a knack for scaling teams and programs. Based in Chiyoda, Japan, Kenny combines cross-cultural leadership with technical depth across research, product, and open-source ecosystems.
12 years of coding experience
6 years of employment as a software developer
University of Tokyo
BS, Mathematics, Computer Science, summa cum laude, BS, Mathematics, Computer Science, summa cum laude at New York University Shanghai
International Baccalaureate Diploma, International Baccalaureate Diploma at Bergen County Academies
Contributions:66 commits, 16 PRs, 32 pushes in 2 months
Contributions summary:Kenny focused on enhancing the NAT diagnosis capabilities within the uProxy project. Their contributions included implementing probing for NAT-PMP, PCP, and UPnP support, which involved writing code to send and receive UDP packets to test router functionality. They also determined the computer's private IP address for PCP requests. These changes aimed to improve the software's ability to work behind various types of NAT configurations.
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