Paolo D'Alberto

Paolo D'Alberto is a prominent expert in software engineering and data science with extensive experience in high-performance computing, particularly in compiler support for AI on FPGAs. Currently serving as a Principal Software Engineer at AMD, Paolo specializes in sparsity and blocked algorithms for AIE2 FPGAs. As the founder of FastMMW, contributions include implementing Fast Matrix Multiplication using Winograd's algorithms. Prior roles include Principal Software Engineer at Xilinx, where Paolo worked on convolution networks for FPGAs, and Principal Data Scientist at NinthDecimal, focusing on large-scale matching algorithms and user profile computation. Additional experience spans positions at Brand.net, 33Across Inc., Yahoo!, Carnegie Mellon University, and UC Irvine, complemented by extensive education in computer science and engineering, including multiple advanced degrees.