Writing on edge AI, Azure, math, and serious software systems.
Implementation notes, command guides, technical essays, and architecture thinking for deployable AI, cloud operations, and real-world engineering.
Every piece is written by Sean Findley and organized as a growing technical library for serious builders, hiring teams, and operators modernizing real systems.
Best entry points into the library.
A compact set of flagship reads for first-time visitors, hiring teams, and anyone evaluating the depth behind the portfolio.
Azure deployment checks before and after a release
A preflight and post-release guide for disciplined Azure delivery.
Azure CLI commands for App Service delivery and diagnostics
A working set of Azure CLI commands for App Service, logs, slots, config inspection, and quick diagnostics.
Move through the library by subject, not just chronology.
These lanes keep the archive easy to understand as writing volume grows across edge AI, Azure, math, product systems, and architecture.
Azure Commands
Command guides for shipping, inspecting, and stabilizing Azure-hosted applications.
Edge AI
Local inference, ONNX Runtime, PyTorch workflows, and deployment notes for private AI systems.
Systems & Architecture
Observability, performance, reliability, and modernization patterns for software that needs to hold up in production.
Product Systems
Operator workflows, AI features, and product-minded engineering decisions for serious software.
Math & ML Foundations
Mathematical intuition and machine learning foundations for engineers building real systems.
Thought Experiments
Higher-level essays on AI products, technical tradeoffs, and the questions serious builders should think through carefully.
Interested in edge AI, local inference workflows, or modernizing serious product systems?
The writing is public. The actual work can be private, practical, and build-focused.