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Resume

Profile and capabilities

I help teams build and operate AI infrastructure: GPU clusters, Kubernetes, GitOps delivery, and the monitoring and recovery procedures needed to support them.

Explore the work

Capabilities

What I do

The work is usually a mix of platform engineering and operational design. I focus on the places where teams lose time: unclear bottlenecks, risky deploys, and dashboards that don't match the on-call questions.

  • GPU platforms: scheduling, routing, scaling, and ongoing operations
  • Cost analysis: throughput, spend, caching, batching, and routing
  • GitOps reliability: safer rollouts, environments, rollbacks
  • Observability: signals, alerts, and runbooks tied to ownership

What you get

I try to ship artifacts you can reuse after I'm gone: baselines, docs, dashboards, and an execution plan that fits your constraints.

  • Baseline report: workload profile + bottlenecks + cost curve
  • Deployment model: topology, capacity, and scaling strategy
  • Dashboards + alert thresholds (first pass)
  • Runbooks: alerts -> actions
  • 90-day plan: owners, milestones, and risk register

Typical engagement

Week 1Baseline
1/4

Agree on the workload, instrument the right signals, and produce a cost/latency baseline you can reproduce.

Weeks 2-3Stabilize
2/4

Put guardrails in place: routing, budgets, autoscaling, and rollout/rollback with clear abort conditions.

Week 4Operate
3/4

Build dashboards and alerts for on-call questions. Document response steps, owners, and remaining work.

OngoingIterate
4/4

Compare each change against the baseline and use the results to choose the next improvement.

Background

My background is in healthcare integration, API support, and technical delivery. That experience shapes how I approach infrastructure and ongoing operations.

Read the about page

Let's talk

Tell me what you're building, where it's getting stuck, and what you've tried. We can use that context to decide on a useful next step.

Resume | FlexInfer