AF / 2026 Platform engineer · open for work

Local AI, measured.

Platform engineer with 6+ years in regulated Kubernetes and OpenShift. I build Kubernetes platforms that pass audit and survive production. Local AI is my side project: benchmarks, inference and open source on one DGX Spark.

Open for platform engineering and DevSecOps roles. The brief →

Currently benchmarking Qwen3.8-Flash-Next on one Spark

spark-01 ~ /bench live

Decode throughput / geometric mean

54.3tok/s

Qwen3.8-Flash-Next · 1× DGX Spark

Measured Oct 2026 Full benchmark

Signals: 6+ years platform engineering, 10+ OpenShift clusters, 50%+ CVE reduction, DGX Spark side project, CKA, CKAD, KCSA and KCNA certified, Lugano and remote EU.

01 Open for work

Need the person
who ships it?

I'm looking for platform engineering and DevSecOps roles in regulated, product or cloud native teams. Kubernetes, supply-chain security and self-service platforms are the core. Also open to select technical writing and open-source collaborations.

Open to roles & collaborations

  • 01Cloud migration & AKS
  • 02Kubernetes & OpenShift
  • 03DevSecOps & supply chain
  • 04Developer platforms & IaC

Lugano, CH · remote EU / UTC+1
Full-time, contract or collaboration

02 Latest writing

Fresh from the field

All 18 articles
One DGX Spark, four ways to serve Qwen3.8-Flash-Next Why I'm Betting on Local AI (and How You Can Start) DeepSeek V4 Flash vs GLM 5.3 Flash: Who Wins on a Single Spark? DeepSeek V4 Flash on a Single DGX Spark Running Laguna S 2.1 on a DGX Spark

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