Damian Urbaniak

• Deploying Nvidia GB100‑300 supercomputers with custom water‑cooling solutions and NVIDIA Quantum InfiniBand networks from test to production variants. • Deploying Microsoft latest AI/cloud utility, Compute, and Storage nodes

• Oversaw enterprise planning and execution of AI/HPC rack deployments for Microsoft datacenters. Managing resource allocation and hardware procurement in the multi-millions to support Microsoft’s next‑generation cloud and AI initiatives. • Directed a team of 8 deployment engineers supporting 40+ engineering teams across MLS Labs, whose roles are to manage building, deploying, supporting, automating, securing, and maintaining racks and VM builds on Cloud AI Systems.

• Supported R&D validation of next-gen devices, accelerating time-to-market by 20%. Collaborated with Azure Engineers on R&D efforts, bench flashing WCS/ Rack Mount server components and motherboard chipsets using Dediprog and Lattice programmers to aid in hardware validations. • Engage directly with OEM and Microsoft engineers to deploy, test, and pilot next-generation devices. Proficiently handled components across the full life cycle from inception to production models. These components spanned the Storage, FPGA, GPU, and DPU front and helped build SKU validation for deployment models. • Planned and executed upgrades to over 70K servers and infrastructure, including server hardware and software, based on team and project requirements.