I’m currently building a Go‐based container orchestration tool that already performs roughly 80 % of what Kubernetes does. Each host runs an agent that tracks host and container health and manages container lifecycles. A controller reads the cluster’s state from an etcd key–value store, compares it with user‐supplied application YAML and the roster of available hosts, and reconciles any differences. It supports both Docker networking and Cilium networking, making it flexible for different deployment models.

I also built a reversible system in Go that converts images to sound and back again. It walks through an image pixel by pixel using a Hilbert curve, maps each pixel’s brightness to an oscillator frequency, and modulates the amplitude accordingly. The sum of these oscillators forms the audio output. Running the process in reverse faithfully reconstructs the original image, showing that no information is lost. Possible uses include enabling blind users to "see" with their ears, helping the deaf interpret sound visually, or compressing time‐series data into images.

Back in 2015 at a startup where I was the first hire, I designed and built a Node.js/MongoDB REST API, set up test harnesses, configured a Postfix‐based encrypted mail server, and automated a CI/CD pipeline for containerized microservices runnable on a generic set of host or on Google Cloud or AWS. Wrote a DevOps tech stack using go language for the heavy lifting to launch microservices using kubernetes back in 2016