I am a machine learning engineer at Mark Cuban Companies, where I apply computer vision techniques to a variety of sports-specific tasks. In addition to my day job, I am the founder of A.I. for Anyone, a blog/podcast that aims to make artificial intelligence understandable to the average person through weekly updates on interesting news in the space, interviews with experts, and articles that break down important concepts.
I graduated from the UC Berkeley School of Information in December 2017 with a Masters of Information and Data Science. My particular interests in the space of data science include machine learning applications in the fields of online advertisement and sports-tracking.
Find me on social media and shoot me a message—I’d love to connect!