Senior Platform Engineer at Optum, where I help keep healthcare data streaming at scale.
I'm one of the deepest technical owners of a Kafka-as-a-Service platform: 1,000+ production nodes, 750+ clusters, five-nines reliability, zero customer data loss. I build the full stack - from Kubernetes operators in Go to self-service React UIs that let developers provision production-grade streaming infrastructure in minutes.
- Streaming: Kafka, WarpStream, Confluent, Schema Registry
- Infrastructure: Kubernetes (custom operators, CRDs), Terraform, GKE, Docker
- Languages: Go, TypeScript, Python, Bash
- Frontend: React, Next.js, micro-frontend architecture
- Observability: Prometheus, Grafana, Thanos, PagerDuty
- Building platforms that make the health system work better for everyone
- Making infrastructure self-service so engineers can ship faster
- Mentoring early-career engineers and making tech more accessible
- Writing code every day - I'm a senior engineer who still ships production code daily
- Working on cutting Kafka infrastructure costs by ~80% with WarpStream's diskless architecture
- Open to collaborating on developer experience tooling, streaming infrastructure, or digital transformation initiatives
- Running Kafka at enterprise scale without losing a single byte of customer data
- Building self-service developer portals that engineers actually want to use
- Migrating from on-prem to GCP (and why we chose it over Azure)
- IEEE-published researcher in NLP/sentiment analysis
- Google Cloud Certified - Cloud Digital Leader
- B.S. Software Engineering, St. Cloud State University