Technical Writing
Engineering essays on full-stack systems, applied AI, and the craft of shipping.
From Prototype to Production: What Most Engineers Miss While Building Software
Explore the stark differences between prototyping and building production systems. Lessons on scalability, logging, and infrastructure from real-world projects.
What Working on Medical AI Research in Taiwan Taught Me About Engineering
Discover how developing AI-powered gastrointestinal disease detection systems in Taiwan reshaped my approach to engineering, precision, and ML limitations.
Infrastructure as Code: Lessons from Automating AWS with Terraform
Explore the critical engineering shift from manual provisioning to Infrastructure as Code (IaC). Lessons learned automating AWS with Terraform.
How I Use AI to Build Software Faster Without Sacrificing Engineering Quality
The engineers who will be most effective with AI tools are not the ones who are best at prompting. They're the ones who can evaluate AI output critically — who understand systems well enough to know when the AI is right, and when it isn't.
Building a Real-Time Industrial Inspection System with YOLOv11 and Intel RealSense
The gap between a computer vision model that performs well on a benchmark dataset and one that performs reliably in a factory is larger than most engineers expect. Industrial environments are adversarial by default.
Building a Production E-Commerce Platform for Japan: Lessons from Kanhaji.jp
Every client who says 'we need a simple e-commerce website' is describing a system that is never simple. When that client is based in Japan — with GMO payment rails, Japanese address formats, and high UX expectations — the surface area expands fast.