About

Christopher Settles is a highly skilled Software Engineer currently working at Uber, where he is part of the Risk Applied Machine Learning Team. He is passionate about fighting fraud on the Uber platform and ensuring that users have a safe and reliable experience. With over 3 years of relevant experience, Christopher has a strong background in Machine Learning, Docker, Pytorch, Azure, and Golang. He has also worked as a Software Engineering Intern at Google, where he developed Golang static analysis tools that synthesized data from several RPC services to enable internal customer onboarding and monitoring for security policy compliance. Christopher's previous experience includes working as a Machine Learning Engineer at the University of Illinois at Urbana-Champaign, where he designed and implemented distributed machine learning infrastructure using Docker and Azure to manage deployment, gRPC to manage network communication, and Pytorch to train models on worker machines. Christopher holds a Bachelors/Master's of Computer Science degree from the University of Illinois and an Associate's degree in Computer Science from Waubonsee Community College. He is a highly motivated and dedicated individual who is always looking for new challenges and opportunities to learn and grow. In his LinkedIn summary, Christopher shares his philosophy: "Don't be proud of the place you're in. Make the place you're in proud to have you in it." This mindset is evident in his work at Uber, where he is constantly striving to make a positive impact and contribute to the success of the company.