AI / ML platforms
The GPU-aware infrastructure that takes experiments to reliable inference.
Independent systems engineer
Infrastructure
for intelligence.
I connect AI/ML, Kubernetes, networking and security into systems people can actually operate.
CURRENTLY EXPLORINGGPU scheduling · platform networking · safe change
SYSTEM MAP / 001OPERATIONAL
CONTROL PLANE
EDGE / 01Gatewayidentity · policy
CLUSTER / 02Schedulerqueues · GPU pools
RUNTIME / 03Inferencemodels · signals
FABRIC / 04NetworkDNS · IPAM · routes
OS
OBSERVABILITY / ALWAYS ON
Composable by design.LAT 37.7749° N
One operating picture
Different layers.
One system.
Durable platforms happen at the boundaries: where models meet compute, where services meet networks, and where change meets policy.
Networks & naming
DNS, IPAM, traffic flow and the connective tissue behind every service.
Security by design
Identity, policy and observability built into the operating model.
FIELD NOTE / 01
Latest from the lab
Make the GPU a first-class citizen in Kubernetes.
Scheduling is a product decision: shape queues, capacity and isolation around the workload, not the other way around.
Read the noteThe useful question