Frontend · React · system design interviews
If you are preparing for frontend / full-stack interviews:
Start here (first 3 links)
Go deeper when you have more time
Learning resources
A small, opinionated library I keep coming back to. If you are preparing for interviews, building products, or going deeper into AI and markets, this is where I would start.
Last updated: September 2025
Featured picks
Applied AI, deep learning, and LLMs
If you want to get serious about applied ML and LLMs:
Start here (first 3 links)
- fast.ai course
End-to-end deep learning with real projects.
- karpathy / nn-zero-to-hero
Builds neural nets from scratch so the math feels concrete.
- Awesome LLMs
Curated list for modern LLM tooling.
Go deeper when you have more time
- llm-course / full-stack-llm
Patterns for serving and evaluating LLM apps.
- stanford / cs229
Theory when you want a stronger ML foundation.
Full-stack engineering and cloud
If you are building modern web apps end-to-end:
Start here (first 3 links)
- vercel / next.js docs
Best place to get fluent in app-router Next.js.
- Django documentation
My default backend reference.
- SQLBolt
Hands-on SQL practice in small chunks.
Go deeper when you have more time
- The Twelve-Factor App
Simple checklist for production-friendly services.
- Awesome Terraform
- Awesome AWS
Trading, quant, and finance
If you are exploring trading systems and corporate finance:
Start here (first 3 links)
- freqtrade / freqtrade
Good reference for real trading workflows and risk controls.
- QuantStart articles
Wide range of quant topics with code.
- Aswath Damodaran online classes
Valuation and corporate finance fundamentals.
Go deeper when you have more time