About Dino

HPC professional with expertise in building shared services environments for multiple application architecture models (Grid computing, private Cloud – PAAS, SOA, high speed messaging, Hadoop/data warehouse) and operational support models. Managing an engineering team focusing on HPC/BI/Big data products on public cloud platforms.

Experienced with line-of-business Application Development teams leveraging micro-services, streaming architectures, creating next generation self-service Data Platforms for Data Scientists/Analysts for machine learning. Leading efforts on public multi-cloud for Data Archiving and HPC bursting.

Specialties include: parallel computing, building large scale grids, GPUs/CUDA, MPI, OpenMP, Processor architectures, Linux optimization, scale out storage, workload schedulers, server scavenging, infrastructure performance tuning, sizing of Hadoop environment, data caching over grid, operational automation for large-scale clusters (provisioning, elasticity, utility billing, monitoring…)