A curated collection of tools, libraries, and learning resources I use and recommend. From AI engineering to trading infrastructure.
Last updated: December 2025
open-guides / og-aws
Deep practical AWS operations knowledge from real engineers.
aishwaryanr / awesome-generative-ai-guide
End-to-end map of the modern generative AI stack.
DataExpert-io / data-engineer-handbook
Production-grade data engineering principles and workflows.
Shubhamsaboo / awesome-llm-apps
Real LLM app patterns across agents and RAG.
dair-ai / Prompt-Engineering-Guide
Research-backed prompt and context engineering guide.
Tools for building agents, coding assistants, RAG graphs, and orchestration.
End-to-end AI engineering, theory, and structured learning paths.
Prompt patterns, evaluation, and system-prompt transparency.
Frameworks for building web apps and UIs with or without JS frontends.
Cloud stack, observability, DevOps drills, and broad “awesome” aggregations.
Frontend practice and patterns, plus your own club repo.
Classic DSA, JS / React questions, and system design prep.
Trading infra, bots, and wealth dashboards.
Resume generation, portfolio inspiration, and job search.
Editing tools and creative ML for images and video.
Your “kitchen OS” and home-management inspirations.
Security resources and hacking tricks.