DISCOVER · WORKING REFERENCES
Practical material for the moment you need it: learn a technical book, scan a command, debug a failure, rehearse an interview, or choose the right tool.
Every collection follows the same path: choose a topic, open the focused reference, and move deeper only when you need more context.
Original companion notes for operating systems, AI, computer vision, reinforcement learning, NLP, performance, BPF, and computational intelligence.
Commands, flags, patterns, exam essentials, and operational gotchas for infrastructure and AI engineering.
Symptom-first playbooks across platforms, servers, databases, messaging, GPU systems, and LLM workloads.
Detailed questions and answers from easy to hard, with the context behind what teams actually ask.
Short, opinionated reviews by role, with clear guidance on what to reach for and what to skip.
Focused courses, books, libraries, datasets, and papers for CV, RL, GenAI, robotics, and NLP.
Deeper collections across ML, DevOps, SRE, cloud, security, data, databases, and system design.
Cheatsheets, slides explained, question banks, formula sheets, book guides, and references by subject.