Projects
I like projects where the abstraction eventually has to touch the real machine: networks, filesystems, kernels, cloud services, deployment pipelines, and the occasional ML experiment.
This page is the index of that work. Some of it is polished, some of it is exploratory, but the useful thread is the same: build the thing, understand where it breaks, then write down the engineering trade-offs.
Active Work
SolvePao
SolvePao is the main product/project thread I keep separate from the blog. It is where product thinking, practical software delivery, and small-system architecture meet.
Skynet Systems
Skynet is my homelab and infrastructure playground. This is where I test ideas around remote access, storage, networking, containers, and operating-system behavior before writing about them.
Good starting points:
Machine Learning Experiments
The ML work on this site started as notes, course projects, and hands-on experiments. The point was not to collect certificates. The point was to get enough mechanical sympathy for data pipelines, notebooks, training loops, deployment, and cloud constraints.
Hackathons and Build Logs
Hackathons are useful because they compress product scope, team coordination, infrastructure decisions, and demo pressure into a tiny window. You learn very quickly which parts of your architecture are real and which parts are just diagrams.