Carlo Bertolli is a Principal Member of Technical Staff with a PhD in Computing and over a decade of experience accelerating high-performance scientific applications through compiler technologies, fault tolerance, and software optimizations. He has driven GPU and multicore acceleration of large CFD codes such as HYDRA at Imperial College and later translated that research rigor into industrial R&D roles at IBM and AMD, focusing on cloud security for infrastructure and scalable performance. Known for bringing production-grade reliability to research software, he blends deep academic expertise with hands-on engineering to shorten simulation turnaround for next-generation turbomachinery. Carlo is aiming to push compiler and DSL design to better serve domain-specific computational science workflows, combining systems-level insight with a knack for making complex, parallel codes more efficient and resilient.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:25 pushes, 17 branches in 5 months
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Carlo Bertolli - Principal Member Of Technical Staff at AMD