Cloud Engineering
Infrastructure as code, reliability engineering, and cost control — the operating side of cloud work, not just the provisioning side.
Technical focus areas.
The areas I work in day to day, and the engineering decisions behind them. Each page covers how the work is actually done — the patterns, the trade-offs, and the numbers from production systems.
AWS & Serverless
Event-driven backends on Lambda, API Gateway, SQS, and DynamoDB — with the operational detail that only starts to matter once real traffic arrives.
Full-Stack Engineering
APIs, interfaces, and the typed contract between them — plus the path from a local branch to something real users are hitting.
Node.js Engineering
Fastify endpoints, distributed workers, and the developer tooling that keeps a Node.js codebase honest as it grows.
AI Engineering
LLM pipelines, retrieval, and agent observability — treating AI features as systems that need tracing, not prompts that need tweaking.
Serverless Architecture
Decoupled, asynchronous systems that stay affordable when traffic spikes and cost nothing when it does not.
Prefer depth over summary? Engineering Insights has the long-form write-ups on these systems, including cost analysis, architecture breakdowns, and post-mortems of things that went wrong.