Alex has been involved with LLVM since 2012, initially working on downstream adaptations of Clang, Polly and other middle-end optimizers, and then progressively moving to upstream contributions. Since 2018, he has been a key member of the team that brought up the MLIR compiler infrastructure, within Google, then the TensorFlow project, and finally in LLVM. He is a strong advocate for collaboration between the LLVM community and researchers, both in industry and academia, promoting usage of LLVM and MLIR through talks and workshops at major research and professional conferences including CGO, PLDI and Supercomputing. Alex is a regular presenter at the LLVM developer meetings, organizer of the MLIR workshop, member of multiple program committees, and active mentor for anybody interested in contributing to MLIR. He currently holds a leadership position in a stealth startup company leveraging LLVM and derived projects to support AI workloads on unconventional hardware.