Michael is a software engineer on the Michelangelo machine learning platform team at Uber. Michael enjoys applying techniques from optimization and building large-scale distributed systems to solve difficult decision problems. Prior to Uber, he worked at Samsung Research on sensor fusion and probabilistic state estimation. Michael received a B.S in Electrical Engineering and Computer Science (EECS) from Berkeley.