Notes, deep dives, and applied research
A working library of research across AI, Cloud, SaaS, and Engineering Leadership — written from the field.
How Agentic AI Is Changing Enterprise Automation
Autonomous agents are moving from research to production. A look at how Agentic AI patterns are reshaping enterprise workflows, governance, and ROI.
Building Scalable RAG Systems for Enterprise Knowledge
A practitioner's guide to designing retrieval-augmented generation pipelines that survive real enterprise data — messy, multilingual, and regulated.
Cloud-Native Architecture Patterns for Modern SaaS Platforms
Multi-tenant isolation, cell-based architectures, and platform engineering — patterns I've used to scale SaaS from MVP to enterprise.
Engineering Leadership Lessons from Managing Large Global Teams
What I've learned leading 450+ engineers across time zones, cultures, and business contexts — and the operating rhythms that actually work.
How AI Can Improve Delivery Predictability and Operational Efficiency
Using AI signals on engineering telemetry to forecast delivery risk, reduce escapes, and improve flow — without surveillance theatre.
Modernizing Enterprise Payment Platforms
Lessons from architecting Biller Advantage and Bell Canada's payment engine — onboarding, reliability, and the discipline of 99.9% uptime.
Designing Data Platforms & BI for Enterprise Scale
A blueprint for unified semantic layers, governed BI, and AI-ready data products — built on lessons from Microsoft Data Platform programs.