Observability Hub: Reading the Pulse of a System
2025-12-08
A tiny observability stack that generates metrics, logs, and alerts from the same synthetic incident.

Fresh dispatches from the Engineering Lab, capturing the latest activity, prototype work, and real-world engineering lessons.
Deep dives into outages, migrations, and system rebuilds that shaped the lab's playbook.
A single missing guard let thousands of requests dogpile the origin layer during a deploy freeze.
A production replica froze mid-deploy, forcing us to peel back transaction logs and rethink how we batch writes.
Full-stack engineer with a passion for building internal tools, microservices, and AI-enhanced systems that help real teams move faster. For the past seven years, I’ve worked across PHP, Node, React, PostgreSQL, MongoDB, and AWS to build products that support operations, marketing, recruiting, and data analytics.
I enjoy 0 to 1 product development, solving ambiguous problems, and collaborating directly with cross-functional teams to translate messy workflows into clean, scalable software. My work includes infrastructure redesigns, microservice architecture, and LLM-powered automations using OpenAI models, Gemini, Claude, and GitHub Copilot.
Recently, I’ve been exploring AI agent orchestration through personal platforms like Engineering-Lab and TimeBookt, where I experiment with multi-agent flows, metadata pipelines, MDX content engines, and AI-assisted scheduling features. I’m also expanding my Python experience through automation and personal tooling.
My goal is simple: build tools that make people more effective, enhance organizational intelligence, and unlock new ways of working with AI at the center.
Whether you want to collaborate, talk engineering, or dig into one of the experiments here, feel free to reach out anytime. I’m always up for meaningful conversations and interesting technical problems.
Prefer async updates? Drop me a note and I’ll reply within a day.