Inspired by roadmap.sh · nested related tracks · AI-era updates
Two deep tracks. One career window.
Separate in-depth roadmaps for a cybersecurity master’s (stay ahead of class, land a research assistant role) and a quant-developer portfolio (systems + math fluency — not research quant). Built for someone who already ships production systems at places like Aqua Security, in a world where AI has rewritten tooling, attack surface, and trading workflows.
Cybersecurity & Research
Progressive path with nested related roadmaps: networking, DevSecOps, AI red teaming / LLM security, supply-chain security, and an RA playbook. Skips beginner IT you already outgrew.
Quant Developer
Market microstructure, matching engines, applied math fluency, market data systems, and how AI/ML changed quant engineering without forcing you into researcher mode.
Why AI appears in both tracks
Security work now includes LLM apps, agents, RAG, and AI-assisted attackers. Trading firms use ML features, LLM tooling for research/ops, and AI-assisted coding — but still hire engineers who understand books, data, and correctness. Each track has an explicit AI-era branch so you don’t prepare for 2018.
How to use this
Order of operations
- Cyber is the degree spine — open that page first
- Quant runs in parallel as portfolio work (one flagship at a time)
- Follow nodes top → bottom; nested tracks are optional depth, not blockers
- Badges: Leverage = you already have signal · Required · AI-era