Deep roadmaps
Five in-depth paths. Each one is a full curriculum, not a link list: a staged roadmap (concepts → reading → videos → problems → milestone), a hard problem arena (the brutal, Jane-Street-energy stuff), projects with stretch goals, keep-curious hooks to sustain the obsession, and mastery signals so you know when you've actually got it.
DSA isn't here — that's Season 1 / Striver.
| Path | The goal | What's inside |
|---|---|---|
| System Design | From CRUD backends to designing and building Twitter/Uber-scale distributed systems. | 5 stages · 5 projects · 6 brutal problems |
| Mathematics for ML & Quant | The shared bedrock under ML and quant — linear algebra, calculus/optimization, probability, statistics. | 4 stages · 5 projects · 7 brutal problems |
| Quant & Mathematical Puzzles | Crack Jane-Street-grade puzzles until brutal problems become a sport you enjoy. | 4 stages · 5 projects · 8 brutal problems |
| Machine Learning (core) | Implement ML from scratch → Kaggle → modern frameworks. Project-heavy. | 5 stages · 5 projects · 9 brutal problems |
| Going Deep in One ML Field | Compare LLMs / CV / RL / RecSys / ML-systems, then commit to one for a full season. | 6 fields · 5 projects · 9 brutal problems |
How to use these
- They're future seasons. Season 1 is Striver DSA. When you reach a season (see
../ROADMAP.md), open its roadmap and work the stages top to bottom. - But the hard problem arenas are open now. Whenever you want a doomscroll replacement that's juicier than a LeetCode medium, drop into the quant & puzzles arena and pick a fight with a Jane Street puzzle. That's allowed — encouraged, even — alongside Season 1.
- The math path is the secret spine. It sits under both quant and ML. When the puzzles start demanding more than you have, that's the signal to start the math foundations season.