Kenny Sheridan | Systems / AI / Robotics

Systems for AI, robotics, and machines that have to keep working.

This code forge publishes Kenny Sheridan's systems engineering work across accelerated infrastructure, B200, B300, AMD GPU systems, AI and machine learning systems, AI system observability, knowledge layers for AI-ready companies, robotics-adjacent edge systems, bare metal, high performance computing, virtualization, Kubernetes, defense programs, FedRAMP and IL5 environments, and lifecycle-managed platforms.

The portfolio includes open source and custom software for control-plane design, host-level agents, AI system observability, AI-ready knowledge layers, virtualization, B200, B300, AMD GPU systems, hardware selection, systems integration, HPC benchmarking, AI and ML workload matching, cluster grading, validation testing, and developer tooling, with a focus on turning hardware fleets, GPU systems, pre-AI companies, and edge devices into durable operational capability.

AI infrastructure AI system observability AI-ready knowledge layers

Operating posture: connected, disconnected, defense, and edge. Commercial focus: startup to Fortune 500 scale. Systems scope: selection, integration, lifecycle, and monetization.

Kenny Sheridan

Access

Web
https://forgejo.kennysheridan.io
Focus
Systems engineering and architecture for accelerated infrastructure, B200, B300, AMD GPU systems, AI and machine learning systems, AI system observability, knowledge layers for AI-native and AI-ready companies, virtualization, hardware platforms, lifecycle automation, open source and custom software, edge systems, defense programs, FedRAMP and IL5 environments, startup delivery from pre-seed through Series A, customer-specific products, ServiceNow growth-phase experience in 2017, Fortune 500 scaling, high-assurance delivery, and monetization strategy.

What lives here

Control-plane code, host-level automation, Nix systems, hardware lifecycle tooling, virtualization, AI system observability, AI-ready knowledge layers, validation testing, systems integration, benchmarking, AI and ML workload matching, customer-specific infrastructure products, and the libraries behind accelerated infrastructure, hardware platforms, defense, edge, FedRAMP, IL5, and high-assurance systems delivery.

Browse public repositories

Featured activity

Review recent public and private activity across systems, edge, and infrastructure work.

Browse all public activity

Recent private activity

Latest private repository activity. Source links stay private.

Start here

Open the main namespace, review public repositories, or sign in for private systems architecture, AI system observability, AI-ready knowledge-layer design, technical leadership, validation, infrastructure scaling, startup delivery, ServiceNow growth-phase and Fortune 500 scaling experience, customer-specific products, and hardware monetization programs.

Open the main namespace