About Me

Calder Katyal is a passionate student of Applied Mathematics and Computer Science at Yale University who concentrates in Machine Learning. With the ability to learn extremely quickly and adapt to new learning environments, he is constantly exploring new technologies. Calder has researched and published in various fields of ML, such as geometric learning and convex optimization, and worked as an RA at the Yale (Computer) Vision Laboratory. In Summer 2024, Calder worked as a Machine Learning Intern at the Palo Alto-based startup CloudChef, Inc., where he leveraged advanced computer vision techniques and frameworks, synthesizing a massive dataset with thousands of multimodal data points and training a high-performing visual classifier for food using transfer learning and open-source models. He has previously worked for Appian Corp, a multibillion cloud-computing and enterprise software company, reporting directly to the founder. Calder is already experienced in Python, PyTorch, Java, C, C++, JavaScript, HTML, CSS, R, and more, also taking graduate-level ML courses at Yale. Most importantly, Calder is a well-rounded student, passionate about all things from math to journalism (published author on The Atlantic). In his free time, you can find Calder reading, playing classical piano, or singing.