Notes on leadership, delivery, and practical AI
Perspectives from two decades of building teams, products, and systems — and from putting AI to practical work in real operations.
- Operations
Building Internal Tools That Actually Help Operations Teams
Most internal tools end up in a graveyard nobody opens. The ones that survive are built next to the people doing the work.
6 min read - Strategy
Why the Right Technology Stack Depends on the Business Problem
“It depends” is not a cop-out. It is the only honest answer, and here is what it actually depends on.
6 min read - AI & Automation
AI Will Not Replace Delivery Discipline
The teams that win with AI are the ones that already knew how to ship. The discipline comes first.
5 min read - AI & Automation
Practical AI Adoption for Small and Mid-Sized Businesses
AI pays off for small businesses when you start with operations, not chatbots. A grounded playbook.
5 min read - Delivery
How to Lead Distributed Engineering Teams Across Countries
Distance is a design constraint, not a problem to paper over. Lessons from delivery across Manila, Bangalore, and beyond.
8 min read - Career
From Developer to Technology Leader: Lessons Across Telecom, PropTech, Fintech, and eCommerce
What two decades and several industries taught me about the shift from writing code to leading the work.
9 min read - People
People Development in Engineering Teams: Lessons Moving from Startups to Enterprise
What transfers between a scrappy startup team and a global enterprise org — and what you have to relearn.
7 min read - Leadership
Why Technology Leaders Need to Understand Business Before Choosing a Tech Stack
The strongest architecture decisions start with business questions, not framework debates. Here is the order I work in.
6 min read
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