Status: scaffolded. Each ships publicly as its phase begins.
Skills
Tools the platform end-state uses, organized by tier
Core
In use
LinuxPythonBashProxmox
Containers + Orchestration
Year 1
GoDockerKubernetesHelm
Infrastructure
Year 2
TerraformArgoCDAWSGCP
Data
Year 3
SparkAirflowTrinoIceberg
ML + AI
Year 4
MLflowRayKubeflowvLLMRAG
Observability
Year 3
PrometheusGrafanaOpenTelemetryeBPF
Agents + AI Platform
Year 5
LangGraphMCPAIOpsKeycloak
Skill bars reflect the phase they land — not self-rated expertise. Bars fill as each phase ships.
Architecture
The 5-year plan, in tiers
05
AI Platform + Capstone
Year 5
LangGraphMCPAIOpsKeycloakPortalmlship
04
ML & AI Infrastructure
Year 4
MLflowRayKServevLLMKubeflowFeast
03
Platform Engineering & Data
Year 3
PrometheusGrafanaeBPFSparkAirflowIcebergTrino
02
Distributed Systems & Cloud
Year 2
TerraformArgoCDAWSGCPCrossplaneBackstage
01
Foundations of Computing
Year 1
LinuxNetworkingDatabasesPythonGoDockerKubernetes
Experience
Roles, programs, and milestones along the way
2023 — present
SRE → AI Platform Engineer
At a major tech company
Supporting and building data/AI infrastructure. Working with Kubernetes, distributed systems, and cloud-native platform services.
2026 — ongoing
ROOT — 60-month program
Self-directed · public
A 60-month, 30-phase program teaching engineering by finding root principles, not chasing tools. Currently Year 1 Phase 1 — OS foundations. Documented at abukix.dev/blog.
At a major tech company. Supporting and building data/AI infrastructure.
Platform (in progress)
Building a homelab-scale data + AI platform across 60 months — same architecture patterns as production. 30 phases, 9 open-source projects. Currently Year 1 Phase 1.
9 projects scaffolded across the 5-year plan: ops-handbook, rxp, konfig, pulse, triage, basecamp, terralabs, platform-ctl, mlship. Each ships publicly as its phase begins. See github.com/abukix.
