A knowledge base and runnable curriculum from junior engineer to distinguished engineer.
Part curriculum, part reference vault, part runnable code: over a decade of engineering notes, maintained in the open since 2021. It goes from CS foundations, data structures, and system design to dedicated tracks for quantitative development, ultra-low-latency trading systems, agentic AI, and cloud AI infrastructure, with working C++ and Python for the concepts interviewers actually probe.
Exchange architecture, matching engines, caches, MESI, and NUMA, isolcpus and IRQ affinity, Onload and DPDK kernel bypass, PTP and HDR histograms, SPSC and MPMC rings, ITCH, OUCH, SBE, and FIX, tick-to-trade pipelines, and FPGAs.
C++ Zero to Godhood traces the language from C++98 to C++26 with a compiled PDF; the Python guide covers generators, decorators, async, and the quant libraries; plus a complete STL reference.
Fourteen volumes ordered as a dependency graph: LLM foundations, tool use and the agent loop, RAG, memory and context engineering, multi-agent systems, MCP, evaluation, safety, production engineering, and coding agents.
Sixteen volumes on AWS and Google Cloud internals, Kubernetes, infrastructure as code, SRE, security, FinOps, AI infrastructure, and LLM serving and inference systems.
About 6,800 solutions organized by pattern, modern C++20 gold-standard reference implementations, and Blind 75 solved in C++, Python, Java, TypeScript, Go, and Rust.
HLD case studies, LLD problems, and 80+ "design a ..." implementations, plus compact working versions of a lock-free stack, Raft, consistent hashing, an LSM tree, and a write-ahead log.
Reading notes on about 159 papers, including the low-latency canon: Boehm-Adve and McKenney on memory models, Herlihy, the LMAX Disruptor, RCU, Netmap, Kyle, Glosten-Milgrom, and Avellaneda-Stoikov.
Program execution, Git, debugging, profiling, build systems, and packaging in C++, Python, and Rust; the shell and Unix userland; and API engineering from TLS to FastAPI, each with verified labs.
C++, the gold-standard C++ patterns, quantitative finance, low-latency systems, performance engineering, then debugging, profiling, and shipping C++.
Agentic AI engineer
The 14-volume agentic AI curriculum and its interview pack, then system design for the production side and cloud AI engineering for serving and inference.
Senior, staff, or distinguished engineer
System design, distinguished engineering, leadership, development practices, security, and engineering systems at scale.
Software engineer (big tech)
CS foundations, data structures and algorithms, system design, and interview prep, with the toolchain and shell tracks alongside.
Why you can rely on it
Every knowledge note carries typed frontmatter (type, track, level, and status), and every folder has an entry note, so the vault can be browsed from any folder.
CI runs on every pull request: no broken links, no private data, and the vault tool tests.
Code is self-contained and compilable; the toolchain labs are checked by make verify and the shell labs run in a 13-shell matrix.
Third-party books and paid course material are never committed; notes link to the publisher, the author, or a legitimate public copy.