Observations from the work

Notes on reliability, modernization, domain knowledge, and the parts of engineering that only make sense after production teaches them to you.

Infrastructure

My Homelab Is Where I Learn Things Before Production Teaches Them

Three years and 50 containers later, my homelab has taught me more about ops discipline than half my day jobs combined. Here's what running your own production-minimum infrastructure actually looks like.

#homelab#infrastructure
AI

Where AI Delivers Real Value in Logistics Ops (and Where It's Mostly Hype)

Where RAG agents and workflow tools cut real friction in logistics ops, and where AI autonomy and generic assistants consistently fall short.

#logistics#software-engineering
Project

Dashboard Modernization Retrospective: PHP/jQuery to React — Lessons on Risk, Rollout, and Real Performance

Retrospective on modernizing a legacy logistics dashboard from PHP/jQuery to React: incremental migration wins, underestimated risks, and patterns I now apply to reduce rework and protect operations.

#frontend#logistics
Operations

What Logistics Operations Taught Me About Building Reliable Software

Crossing from hands-on logistics ops into engineering: why domain fluency, workflow trust, observability, and safe incremental change beat elegant architecture in high-stakes, messy production environments.

#logistics#reliability
Philosophy

What Legacy Logistics Systems Actually Taught Me

After years modernizing messy PHP, jQuery, and COBOL-adjacent logistics platforms, I learned that the ugliest code often contains the most valuable business truth. Here's what greenfield engineers miss.

#logistics#modernization
Career

Why Domain Knowledge Matters in Full-Stack Roles

How seven years in logistics operations made me a better engineer—and why domain expertise is undervalued in engineering hiring.

#logistics#software-engineering
Career

From Logistics Ops to Engineering: How Domain Depth Accelerates Real Impact

Lessons from transitioning from logistics operations to software engineering — why deep domain knowledge in supply chain accelerates problem framing, reduces failure modes, and builds dual credibility.

#logistics#software-engineering

Built from real work

These notes sit a little closer to judgment than tutorials do. They are the patterns, tradeoffs, and scars that kept sticking after the project was over.