A curated set of systems, experiments, and internal tools I built to solve real delivery and operations problems.
Work in progress lives on GitLab and GitHub before it shows up here.
Follow on GitLab →Real-time K8s cluster monitoring, GitLab CI/CD visualization with particle effects, and AI model management. Built with SolidJS for fine-grained reactivity and Go backend.
Full-stack dashboard with real-time K8s visualizations
Healthcare integration engine: HL7v2, X12 EDI, and CSV to semantic events.
Healthcare parsing, transformation, and workflow delivery with explicit validation contracts
Pre-send linter for EDI and healthcare flat files.
Open-source EDI validation tooling: 48 rules, three-OS test matrix, Apache-2.0
AI-powered news pipeline.
End-to-end AI pipeline with production K8s deployment
Repository banner generation toolkit.
Intelligent diff analysis and patching.
Private runtime and inference control plane for Kubernetes.
Kubernetes routing and lifecycle management for private inference
Composable AI agent framework.
Published PyPI package with hierarchical agent patterns
pip install fractal-agents
GitLab webhook event processor.
Kubernetes cost prediction and optimization.
FinOps tooling for K8s cost optimization
Composable LangGraph agents for AI workflows.