What you'll work
through, step by step.
Most engineers go wide and stay shallow, or go deep in one area and miss everything else. Maddy teaches the T-shaped model she built at MIT and refined at Google — how to identify your depth axis, build breadth deliberately, and present both in a way that makes every recruiter pay attention from the first screen.
There are thousands of to-do apps and weather APIs on GitHub. Maddy shows you the three types of projects that actually signal readiness to big tech hiring teams, how to scope them for maximum impact without over-engineering, and how to present them in a README that does the selling for you.
Recruiters don't read resumes — they scan for specific patterns. Maddy breaks down the exact bullet structure, verb choices, and quantification frameworks she used to pass Google's initial screen, plus the LinkedIn section most candidates leave blank that hiring managers actually look at first.
200 LeetCode problems solved in silence won't get you the offer. Maddy teaches a targeted 8-week DS&A system — which patterns to master first, how to practice out loud, how to handle problems you genuinely haven't seen before, and how to communicate your thought process so it scores well even when your solution isn't perfect.
Everyone knows the STAR method. Almost nobody uses it well. Maddy shows you how to build a story bank of 8–10 adaptable situations before the interview, map each one to Google's leadership principles, and deliver answers that feel natural and specific rather than rehearsed — even under pressure.
Getting the offer is step one. Maddy covers what most people don't talk about: how to build your reputation fast without burning out, which relationships to prioritise in the first 30 days, how to scope your first project so it's visible, and how to set yourself up for your first performance review before it's even on the calendar.
