Summary
Daniel Fang is a software engineer with over a decade of experience building scalable backend systems and APIs across startups and AWS, currently contributing to EC2 ML Supercomputing platforms. He combines strong generalist engineering skills—cloud infrastructure, AI toolchains, CI/CD, full-stack development, and automated testing—with a track record of driving large, multi-quarter projects and cutting operational latency by orders of magnitude. At Kargo he led end-to-end product engineering from MVP to post-Series A growth, hiring and mentoring early teams; at Wealthfront he was a top-performer and tech lead focused on infrastructure and on-call reliability. He routinely improves team processes, tooling, and deployment safety, and has deep experience translating customer and stakeholder needs into production-grade systems. Based in Seattle, he pairs hands-on implementation with mentorship to scale both systems and engineers.
12 years of coding experience
8 years of employment as a software developer
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at University of Washington
Redmond High School