Recently got working a Go‑based container orchestration tool that already performs roughly 80 % of what Kubernetes does. Each host runs an agent that calls etcd to get container launch requests, 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.

Previously I built a reversible system in the go language that converts images to sound and back again. It visits each pixel of an image using a Hilbert Curve to determine the next pixel to visit transforming the 2D image into a linear 1D array. As this array is built each element is assigned an incremental audio frequency (oscillator). Each such audio oscillator then renders its audio tone with its volume driven by its source pixel's light intensity. It aggregates all such audio signals into a single output audio signal which now represents the source input image. 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