// portfolio
Sawyer Czupka
Software Engineer.
ML Systems · Infrastructure · Full-stack.
I build intelligent systems at the intersection of machine learning, backend engineering, and production infrastructure — from RAG pipelines and LLM evaluation frameworks to Kubernetes clusters and CI/CD automation. Recently finished my BS in Computer Science & Data Science at William & Mary, Cum Laude.
// recent writing
all posts →- Building Production RAG Systems: Lessons from Three Deployments→
What actually breaks when you move retrieval-augmented generation from a demo to something that handles real users and real documents — from the World Bank to enterprise contracts.
- Running Kubernetes at Home: A Year of Production GitOps→
What running a 116-pod Kubernetes cluster on Proxmox has taught me about infrastructure-as-code, GitOps, and where the real complexity lives.
// selected projects
all projects →LapEvo
2025 →iRacing telemetry tracker and AI racing coach — real-time 60Hz data pipeline, React dashboard, and TimescaleDB time-series storage.
Homelab Infrastructure
2023 →Production-grade homelab: 116-pod Kubernetes cluster on Proxmox, GitOps via ArgoCD, Terraform/Packer infra-as-code, and automated TLS.