Writing
On systems engineering, analytics, networks, and decision systems.
Three Questions Before You Build Your Own AI Platform
Building AI infrastructure does not start with picking a model. Most teams begin there — evaluating benchmarks, negotiating API contracts, provisioning GPUs — and most teams regret it. The hardware and software decisions that define a platform are downstream of three questions about where work runs, what data crosses boundaries, and what shape consumers expect. Answer those and the architecture falls out on its own.
Designing for Non-Technical Users Without Dumbing Down the Analytics
A series on the architecture, methods, and mindsets behind building analytical systems that actually drive decisions.
The Difference Between a Report and a Decision Tool
A series on the architecture, methods, and mindsets behind building analytical systems that actually drive decisions.
Why Most Analytics Projects Fail Before They Start
A series on the architecture, methods, and mindsets behind building analytical systems that actually drive decisions.
From Data to Decisions
Most companies allocate capital based on correlations. Few ask whether the action caused the outcome. The difference between those two questions is not a statistical refinement — it is the difference between investing in what works and investing in what merely accompanies success.
Charts Are Not Pictures
Most organizations treat charts as pictures — static outputs judged by aesthetics. This document treats them as capital allocation interfaces: systems that either free executive attention for decisions or consume it with decoding.
Engineering a Production-Grade Shiny Infrastructure
How we transformed a “Proof of Concept” (GitHub | Live App) into a technical template for reproducible, observable, and validated data products.
CV vs Proper Validation
You train a model. You run 5-fold cross-validation. The RMSE looks great. You deploy.
The Majority Illusion
You open social media. Most people around you seem to hold a particular opinion, adopt a new trend, or engage in a specific behavior. You conclude: