Engineering rebuild · EE + software

Principia

Rebuild the foundations — math, physics, machines, systems — so you can solve real problems in any domain, and stay hard to replace.

Core arc
~18 months
Study mode
First principles
Proof
Writeups > repos

North star

North star

You already ship software. The gap is portable understanding: the math that models systems, the physics that constrains them, and the machine reality that executes them.

Six phases

The roadmap

Select a phase. Resources and projects are non-negotiable — theory without builds does not compound.

While employed

Weekly rhythm

Target ~15–20 focused hours. Intensity beats duration. Transfer one idea into a real work ticket every week.

Against replacement

What models struggle to own

Not “knowing more APIs” — posing the right problem, modeling reality, and owning outcomes under constraints.

Bonus track

The quant world

Applied math and computing under adversarial noise. With EE + Python/Go, Quant Developer is the natural bridge.

Honest entry note

Researcher roles usually want deeper probability, stochastic calculus, and a research sample. Do not skip foundations to chase interview puzzles — firms notice hollow math quickly. Full books and projects live in phase 06 of the roadmap.

Suggested sequence