py-prep
Interview notes for senior backend Python and AI/ML roles. Every claim is checked against a dated stack baseline, and every note ends in the questions an interviewer would actually ask.
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3,534
Interview angles
9
Domains
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Domains
backend 650
Python internals, async, FastAPI and Django, databases, queues, architecture, infra and cloud — plus the quant and healthcare domain tracks.
frontend 222
JavaScript, TypeScript, React 19 with the compiler, Vue 3.5, state, testing, performance, accessibility and rendering modes.
ai_ml 124
Math and ML foundations through transformers, RAG, agents, MCP, evals, guardrails, MLOps and realtime voice.
system_design 30
Integration patterns, resilience, the design framework, eight worked designs and the scaling building blocks.
behavioral 16
STAR stories, and the 2026 questions about how you actually work with AI tools.
methodologies 9
Agile, Scrum, Kanban, XP, estimation — and AI-DLC.
claude_certification 8
Agentic architecture, tool design and MCP, context management, prompt engineering.
techcheck 5
Debriefs of interviews actually sat. The best signal for what to prioritise.
practical_cases 3
End-to-end 'how would you build this' scenarios with worked answers.
Drill 3534
Every interview angle in the repo as one filterable deck, with spaced repetition.