DoorDash
Hebo Yang is a Machine Learning Infra Engineer at DoorDash, focusing on building machine learning tooling and infrastructure since 2020. Prior to this role, Hebo served as an Applied Machine Learning Engineer at Microsoft, contributing to the development of an anomaly detection system on Spark, and as a Software Engineer, where responsibilities included working on Azure Resource Manager for distributed systems. Earlier experience includes a Technology Analyst position at Bank of America, developing real-time distributed systems, and a Summer Analyst role at Bank of America/Merrill Lynch, creating frameworks for managing reference data. Hebo's career also includes positions such as Analyst Intern at Institutional Life Services, Research Assistant at Columbia University, and Summer Intern at Deutsche Boerse AG, alongside a teaching assistantship at the University of Illinois at Urbana-Champaign. Academically, Hebo holds a Master's degree in Mathematics of Finance & Computer Science from Columbia University and a Bachelor's degree in Actuarial Science and Computer Science from the University of Illinois Urbana-Champaign.
This person is not in the org chart
This person is not in any offices
DoorDash
694 followers
DoorDash is a technology company that connects people all over the world with thousands of restaurants, convenience stores, pet stores, and grocery stores. They were founded on a mission to alleviate delivery orders for small businesses that could not keep up with consumer demand. They wanted to make sure to encompass all restaurants' needs in the area so quickly began to prototype an application that provided the best delivery experience within their small community in Palo Alto. Today, they are continuing to work hard to deliver convenience at your doorstep. While meeting the needs of consumers, they are also able to generate news ways for people to earn, work, and live through food delivery and their last-mile logistics infrastructure for local commerce.