About

Karthik Narayan is an experienced Algorithm Developer at Hudson River Trading. With over 8 years of expertise in C++, Python, and Java, he specializes in AI, Machine Learning, Deep Learning, Computer Vision, Robotics, and Deep Reinforcement Learning. Karthik's current role involves developing algorithms for trading purposes. Prior to joining Hudson River Trading, Karthik was a Doctoral Student (Machine Learning and Computer Vision) at UC Berkeley, where he conducted research in machine learning, computer vision, and robotics. He worked on a series of projects aimed at bringing personal robots into households, developing novel algorithmic techniques to improve the state of the art in 3D scanning and predictive performance of large-scale robot vision systems in indoor environments. Karthik has also worked as a Quantitative Researcher Intern at Citadel, where he developed machine learning algorithms to improve model prediction. He created and launched a novel alpha that currently generates $XX million/year PnL live. Karthik was responsible for all stages of development, from research to production implementation. Karthik's educational background includes a Doctor of Philosophy (Ph.D.) and a Master of Science (MS) in Computer Science from the University of California, Berkeley, and a Bachelor of Science (BS) in Computer Science and Discrete Mathematics from the Georgia Institute of Technology. Karthik's tech stack includes Computer Vision, ML, Research Scientist, Reinforcement Learning, AI, Deep Learning, Python, and Java. With 7.52 years of relevant experience, Karthik is a highly skilled and accomplished professional in the field of Algorithm Development.