Hamzah Khan

Hamzah Khan, a highly skilled and dynamic Prediction Software Engineer at Uber, has an extensive background in Electrical/Computer Engineering and Computer Science. He is a graduate of Harvey Mudd College, where he studied and contributed to various research projects in HEATlab, Openloop Alliance - SpaceX Hyperloop Competition, and Lab for Design in Analog, Radio, and Emerging Technologies.

Aside from his academic achievements, Hamzah has also held various professional roles in the tech industry. He was a former [remote] ML Systems Engineer at Tarteel, a Hardware Engineering Intern at Amazon Prime Air, a Software Engineering Intern at Facebook, a Browser Product Intern at New Relic, Inc., a Regional Hackathon Manager at StudentRND, a Network Visualization Intern at OHSU, and a Software Development Intern at Huron Consulting.

At Uber, Hamzah's primary role is to develop and maintain accurate forecasting models for demand and supply of rides, which is crucial in providing reliable and timely ride-hailing services. He is also working on the development of machine learning models that predict expected promotional lift.

With his vast experience in research and development, software engineering, and machine learning, Hamzah is a valuable asset to any tech-driven organization.