// system design, straight from production
Crack the interview. Keep the thinking.
Industry-driven system design explanations from a practicing software engineer — the trade-offs, failure modes, and scaling decisions that matter in production, not just in interview rooms.
01 — learning paths
Structured Learning Paths
System Design
The full fundamentals track: scalability, CAP theorem, proxies, load balancers, caching, and more.
Start Track →Generative AI
How modern AI systems are engineered: LLMs, embeddings, and serving at scale. New lessons landing regularly.
Explore Track →Data Structures & Algorithms
DSA with a systems lens — the patterns behind the problems, not just the solutions.
02 — who this is for
Built for engineers who want more than memorized answers
Engineers preparing for interviews
Engineers struggling with system design fundamentals
Developers who want real-world scalable system explanations
Engineers aiming to grow beyond LeetCode-only preparation
03 — explore
Two ways in
Go deep, in order
Sequenced courses that build from low-level components to high-scale architecture — follow a track, keep your progress.
Dip in, one system at a time
Standalone deep dives into real production stories — how major systems scale, fail, and recover.
Mock Interviews & Career Services
Built from real-world production systems, for the next generation of engineers
I’m a software engineer focused on bridging the gap between theoretical interview prep and real-world production architecture. Here, you’ll learn the trade-offs, failure modes, and scaling decisions that actually matter in practice.