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Geospatial Systems, Data, and Strange Machinery

Building production-scale systems at the intersection of geospatial data, cloud infrastructure, and distributed computing

Best Practices → Tutorials → Projects →

Welcome

This is my technical studio—a curated collection of best practices, tutorials, and experiments from building production systems at Oak Ridge National Laboratory and beyond. Here you'll find deep dives into geospatial data engineering, distributed systems architecture, and the practical patterns that make complex systems reliable.

What to Expect

This site is organized into Best Practices (conceptual guides and patterns) and Tutorials (step-by-step implementations). Both are written for engineers who need production-ready solutions, not just examples.

Quick Navigation

🎯 Best Practices

Production-grade patterns, architectures, and methodologies for building reliable distributed systems.

Explore Best Practices →

Highlights: - System Resilience & Concurrency - Configuration Management - Release Management & Progressive Delivery - IAM & RBAC Governance

📚 Tutorials

Step-by-step guides with copy-paste examples for implementing key technologies and patterns.

Browse Tutorials →

Popular: - PostGIS Geometry Indexing - PostgreSQL Auditing with PgAudit - RKE2 on Raspberry Pi - ONNX Browser Inference

🏗️ Projects

Technical implementations, experiments, and creative explorations at the edge of what's possible.

View Projects →

Featured: - Final Fantasy Football (semantic learning) - Where I've Been (travel visualization) - This Is A Casino (trading platform) - Decentralized Content Reward System

🎨 Just for Fun

Creative, experimental, and occasionally absurd implementations — from generative art to MIDI-driven servers.

Explore Just for Fun →

Recent: - Pi Sample Library Server - Recursive Cathedral Generator - Fractal Art Explorer - OSC + MQTT + SuperCollider

📌 Start Here

If you're new to this site, these foundational guides will give you the most value:

  1. ADR and Technical Decision Governance — How we make and document architectural decisions
  2. Configuration Management — Managing configs across multi-environment systems
  3. System Resilience & Concurrency — Patterns for building resilient distributed systems
  4. IAM & RBAC Governance — Identity and access management across heterogeneous stacks

Parquet & Data Warehouses

Fast queries & cheap storage — How to lay out partitions, size files and row groups, enable predicate pushdown & column pruning, serve efficiently over S3 byte-range, and wire up parquet_s3_fdw in Postgres for pushdown.

Geospatial Data Engineering

PostGIS Best Practices — Production patterns for spatial indexing, raster workflows, and large-scale geospatial data management.

Release Management

Release Management & Progressive Delivery — Safe deployment strategies for coordinating changes across applications, databases, data pipelines, and ML systems.

What I'm Working On

Currently focused on:

About This Site

This documentation represents years of building production systems, learning from failures, and refining patterns that actually work. Everything here is battle-tested in real environments—from air-gapped clusters to cloud-native architectures.

The content is organized to be immediately useful: copy-paste examples, production-ready configurations, and clear explanations of trade-offs. No fluff, no theory without practice.

Learn more about me →

Latest Updates

Feb 2026: - Recursive Cathedral Generator (Kotlin + Processing) — L-system generative architecture - Pi-Based Sample Library Server — WebAudio + SQLite + USB MIDI on a Raspberry Pi

2025: - Vibe → Agentic LLMs — Production agentic LLM architecture - IAM & RBAC Governance — Identity and access across heterogeneous stacks - Release Management & Progressive Delivery — Safe deployments at scale - ONNX Browser Inference — Run ML models client-side

See all recent additions →

Connect

Contact & Collaboration →