Vikram Waradpande

Vikram is a Computer Science master's student at Columbia University with a focus on Machine Learning. His interests include machine learning and distributed systems. He completed his bachelor's in Computer Science and Mathematics in India from BITS Pilani. Before Columbia, he was a part of the systematic market making team at Goldman Sachs, where he built scalable and efficient trading tools. He has also had research experience working at TU Leibniz, Germany in the area of Reinforcement Learning and Parallel Programming. He presented his research on graph based reinforcement learning at the International Conference on Mining and Learning on Graphs in 2020 in Vienna, Austria and has been a PyCon and PyData speaker. He has also been teaching assistant for various courses in BITS and Columbia, during which he organized research fairs and seminars for the students. He has also tutored high schoolers for more than two years for Math and Programming. He plans to work in the domain of scalable machine learning in the future.