MLOps. Platform. Engineer.
Askhat Seitenov: DevOps + MLOps + AIOps × Security. I build the paved roads that models and services ship on.
hide the truth.
The ghost in
the platform.
I design and run internal developer platforms on Kubernetes: GitOps delivery with Argo, policy-as-code with Kyverno, eBPF networking with Cilium, and observability with Prometheus and OpenTelemetry, all behind a Backstage portal.
That platform is where ML workloads live: reproducible pipelines, versioned artifacts, progressive model rollouts and drift/latency telemetry on the same alerting as every other service.
Security is a layer, not a phase: an M.S. in Cybersecurity, CEH, Security+ and KCSA mean supply chain, admission control and runtime posture are designed in.
Commit to
model in prod.
Every arrow is Git-driven, policy-checked and observable. Hover or tap a node.
Six systems. One platform.
22 certs. Verifiable.
Three degrees. Still compiling.
Every school is a capsule wired into the same mainframe. Two links are still streaming.
Where the shell ran.
The fog doesn't hide
the infrastructure.
Hiring for MLOps, Platform Engineering or cloud-native security? Let's talk.
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