What I can do for you
Focused, hands-on consulting. No bloated teams, no middlemen — just direct work with a senior engineer who's done this before.
Book a Discovery CallKubernetes Security Hardening
Sleep well. Your cluster is locked down.
Running Kubernetes in production without a security review is a risk most teams don't realize they're taking. I conduct hands-on security audits and work with your team to implement lasting hardening — from RBAC to runtime threat detection.
What's included
- Full security audit against CIS Kubernetes Benchmark
- RBAC policy redesign with least-privilege principles
- Network policy implementation (Calico / Cilium)
- Secrets management migration (HashiCorp Vault or External Secrets Operator)
- Runtime threat detection setup with Falco
- Pod security standards (PSS) enforcement
- Image scanning pipeline (Trivy / Grype) integration
- Written security report with priority remediation plan
Ideal for
Teams running K8s in production who want to pass a security audit, meet compliance requirements (SOC2, ISO 27001), or have recently experienced a security incident.
Legacy Infra → Cloud Migration
Move fast. Break nothing.
Whether you're on bare metal, VMware, or a tangled mix of legacy cloud resources — I design and execute migrations to modern, cloud-native Kubernetes environments. Everything as code. GitOps from day one. Zero surprises.
What's included
- Current infrastructure assessment and migration roadmap
- Target architecture design (EKS / GKE / AKS)
- Terraform modules for full infrastructure provisioning
- Helm chart development for all workloads
- GitOps setup with ArgoCD or FluxCD
- CI/CD pipeline migration (GitHub Actions / GitLab CI)
- Zero-downtime cutover plan and execution
- Runbooks and infrastructure documentation
Ideal for
Startups and scale-ups with technical debt in their infrastructure who need to modernize without disrupting their product teams.
AI / GPU Cloud Infrastructure
From Jupyter notebook to production LLM infrastructure.
Building AI products is hard enough. Don't let infrastructure be the bottleneck. I design and build production-grade GPU infrastructure on Kubernetes — model serving, autoscaling, multi-tenancy, and cost controls — so your team can focus on the model, not the plumbing.
What's included
- GPU node pool setup and optimization (AWS, GCP, Azure)
- LLM inference stack (vLLM, Triton, Ollama)
- Model registry and artifact management
- Horizontal and vertical autoscaling for inference
- Multi-tenant inference platform design
- Spot / preemptible GPU cost optimization
- Observability: GPU utilization, latency, throughput dashboards
- Fine-tuning infrastructure (distributed training setup)
Ideal for
Teams building AI/LLM products who need reliable, scalable, and cost-efficient GPU infrastructure on Kubernetes.
Not sure which service fits?
Book a free 30-minute call. We'll talk through your situation and figure out together what would make the most impact.
Book a Free Call