I work across infrastructure, software, automation, and applied AI. I write here about AI in the workplace, security and permissions, and what changes when these tools become part of how a business actually operates.
I focus on reliability, uptime, security, software that earns its keep, and automation that takes real operational drag off a team. On the AI side, I am interested in small focused tools, local experiments, computer vision workflows, and ways to fit AI into everyday work without adding noise.
Personal projects across software, computer vision, automation, and lightweight dashboards.
Face analytics app powered by a fine-tuned CLIP model that classifies age and gender.
Live face landmark detection in the browser with WebGL overlays. A sandbox for iterating on AR-style effects without leaving the page.
At-a-glance status board for the day's S&P 500 movement. An end-to-end exercise in deploying a minimal Flask service behind a real domain.
Polls IKEA Canada's product API and emails the moment a limited item is back in stock. Built after losing a restock by minutes.
Scrapes Rumble livestream chat into structured logs so the conversation can be searched, analyzed, or piped into downstream tooling later.
PowerShell tooling that turns Microsoft 365 retention policy edits into something repeatable and reviewable instead of a series of one-off clicks.
Bulk-exports every Cloudflare zone's DNS records to disk so changes can be diffed, audited, and rolled back instead of trusted to a single console.
Short essays on AI in the workplace, security and permissions, and what changes when these tools land inside a business.
Self-hosting a Model Context Protocol server on a public web server exposed a problem the protocol does not solve on its own. A new NSA report describes the same gap in formal language, and here is the architecture I landed on to close it.
The number one question executives ask us about AI is whether their business data is safe. The honest answer comes down to one thing: which license your team is using.
Why employees feel the need to minimize their AI tools when management walks by, and why the companies that embrace AI will pull ahead of the ones that don't.