I’m a founding engineer at Kumo AI, and I mainly work on core graph machine learning algorithms and end-to-end AutoML solutions. I graduated from Stanford with my CS Ph.D. degree, advised by Prof. Leskovec.
I was involved in the early ideation of Kumo AI. The open-source project GraphGym that I created, is now a core component in PyG, echoing the mission of Kumo AI to democratize AI to domain experts. With GraphGym, I demonstrated that graph learning methods could perform on relational databases significantly better than traditional ML solutions. Moreover, users would be able to use the pipeline with minimal effort thanks to the ML design space and AutoML algorithm. I was excited to see that these early explorations played an integral role at Kumo. It was natural for me to join Kumo AI and make an impact in the real world with these technologies.
What excites me the most about working at Kumo AI is the team’s strength and how we collaborate. At Kumo AI, I’m lucky to be working with some of the brightest minds in academia and industry. Beyond contributing to the platform development, I’ve learned and contributed in significant ways to everything from recruiting and logo design to customer engagement and product design. This type of multi-tasking is uniquely encouraged at Kumo AI!
In my free time, I love traveling and photography. I’ve visited more than 20 national parks. Fun fact: I skipped 2 years in my primary school. Connect with me on Twitter, LinkedIn, or Github.