Gcp, Networking, Storage, Azure, AWS, NVIDIA DGX HGX systems, GPU compute, CUDA AI Enterprise software suite, MLOps pipeline, AI ML infrastructure, software stack

Networking, Storage, Cuda, Gcp, Azure, AWS, AI Enterprise software, sovereign AI infrastructure, inference deployment, MLOps pipelines, software stacks, NVIDIA DGX HGX systems, GPU-as-a-Service, GPU clusters, AI ML infrastructure

Github, Power Automate, Azure Ad, Azure DevOps, Microsoft Entra ID, Dataverse, Security Governance, ALM CI CD, Azure AI Search, Application Insights, Azure Monitor, Microsoft Copilot Studio

Pre-sales Acumen, AI ML Infrastructure, MLOps Mastery, Modern AI Workloads, Distributed AI on K8s, Storage Networking for AI

MLops, Design Patterns, Python, Generative AI solutions, multi-agent workflows, Agentic systems, AI Tools

Python, Pytorch, nemo, Deep Learning toolkits, NGC, RAPIDS

Devops, Software Engineering, Infrastructure, CI CD systems, enterprise engineering environments, SDLC tooling integrations, platform engineering, Governance, developer tooling