What we build here
Engineering education that
ships real infrastructure.
Every piece of content comes from running production systems — not textbooks.
Kubernetes at Scale
Running 500+ microservices across 30+ teams on bare metal. Cilium CNI, BGP routing, Envoy Gateway, etcd internals, and capacity planning from first principles.
GPU Infrastructure & Distributed Training
Multi-node DDP, NCCL collectives, vLLM deployment, tensor parallelism, and GPU operator internals — from real bare-metal clusters with RTX 4090s and A100s.
MLOps & AI Platform Engineering
MLflow, Argo Workflows, KServe, Kubeflow Pipelines, and the platform layer that keeps AI teams shipping without blocking on infra.
Observability & GitOps
Prometheus, Grafana, Loki, ArgoCD — how to actually run GitOps at scale across 30+ teams without it becoming a mess.
Transformer Architecture & Inference
Attention mechanics, GQA/MQA, quantization (AWQ/GPTQ), and inference optimisation from a platform engineer's perspective.
Career in AI Infrastructure
How to break into top-tier AI infra roles at CoreWeave, Nebius, Lambda Labs — interview prep, portfolio builds, and what actually matters.
