🗞️ JobPrep: The Full-Stack Developer Interview Prep Book
A structured, fully open-source preparation guide and interactive platform for the React.js / Node.js Full-Stack Developer role, styled as a vintage broadsheet newspaper.
🌟 About This Repository
JobPrep is more than just a markdown repository; it is a fully functional Next.js 15 application built to serve as the ultimate interview companion. It contains deep, highly-curated knowledge tailored for top tech companies (FAANG and leading Service Providers).
Key Features:
- Comprehensive Curriculum: Deep dives into JavaScript, React, Redux, Node.js, NestJS, and MongoDB.
- MongoDB in Depth: 13 chapters — CRUD & query operators, data modelling patterns, Mongoose, indexing, aggregation, transactions & consistency, performance tuning, replication & sharding, advanced features, 25 hands-on query problems with solutions, and a 70-question rapid-fire sheet.
- Redux in Depth: 6 TypeScript chapters — core concepts, Redux Toolkit, async thunks, RTK Query, selectors & normalised state, middleware and testing.
- MERN Stack + TypeScript: 10 chapters that wire the whole stack together with types — project setup, typed Express, Mongoose with TS, JWT auth end to end, React with TS, a full-stack CRUD walkthrough, testing, deployment, and a 70-question rapid-fire sheet.
- AI / LLM Engineering: 11 chapters on LLM fundamentals, prompt engineering, embeddings, RAG, tool calling, agents, streaming, evals, AI security, and cost optimization.
- GenAI & ML (Senior): 14 chapters for senior ML / GenAI roles — ML and deep-learning fundamentals, transformer internals, pretraining and alignment (RLHF, DPO), LoRA/QLoRA, inference optimisation (KV cache, batching, quantisation, speculative decoding), multimodal and diffusion models, advanced RAG, evaluation and responsible AI, MLOps/LLMOps, GenAI and classic ML system design, a Python coding round, and a 75-question rapid-fire sheet with a leadership round.
- MERN Interview & GenAI Interview: two ready-to-revise question banks with model answers — self-introduction and project explanation, technical questions, scenario/debugging questions, live coding tasks with solutions, and team/process questions (MERN: 8 chapters, GenAI: 7 chapters).
- System Design & Architecture: Real-world examples of microservices, database indexing, and scaling.
- Company-Specific Tracks: Exact questions from recent hiring cycles at 23 companies including Google, Meta, Amazon, TCS, Infosys, and more.
- 200+ DSA Questions: An interactive Data Structures and Algorithms tracking checklist.
- Career Roadmaps: A dedicated
/roadmapsarea with interactive, stage-by-stage maps for six in-demand roles — AI engineer, ML engineer, prompt engineer, forward deployed engineer (FDE), data engineer and MLOps — with per-topic progress tracking and a long-form guide chapter behind each track. - SEO & Performance: Fully static generated (SSG), mobile-responsive, JSON-LD schema injected, and blazing fast.
Every technical concept across the curriculum strictly follows the same pedagogical pattern:
Definition → Explanation → Code Example → Real-World Use → Likely Interview Questions
🗺️ Reading Order
The book is arranged as one path. Chapters are numbered in this order, and every chapter ends with Previous / Next links, so you can read it straight through.
| Part | Sections | Chapters |
|---|---|---|
| 1 · Core MERN stack | JavaScript → React → Redux → Node.js → Express / NestJS → MongoDB | 1–55 |
| 2 · Putting it together | MERN Stack + TypeScript → MERN Interview | 56–73 |
| 3 · Interview rounds | Machine Coding → System Design → AI / LLM Engineering → GenAI & ML (Senior) → GenAI Interview → DSA & Coding → HR & Behavioral → Company-Specific Questions | 74–138 |
| 4 · Revision & career | Night-Before Revision, Documents & Q&A, Career Roadmaps | 139–147 |
🎯 How to Use This Book
One week out
- Master JavaScript, React, Redux, and Node.js.
- Type out every code example by hand — don't copy-paste.
Two days out
- Read Express/NestJS and MongoDB, then solve the MongoDB Query Practice Problems without looking at the answers.
- Work through MERN Stack + TypeScript, especially the Full-Stack Feature Walkthrough.
- Walk through Machine Coding exercises with a timer.
One day out
- Skim System Design.
- Read the MERN + TS Rapid-Fire Q&A chapter, then rehearse your answers from MERN Interview / GenAI Interview out loud.
- Practice the HR / Behavioral self-introduction out loud, recorded.
The morning of
- Read only the Revision Sheet.
- Pack everything from the Appendix.
Final note: You already have hands-on production exposure with the exact stack companies want — MERN, NestJS, AWS S3, Swagger. Lead with specific stories and numbers from your work. Textbook answers everyone has; your projects are your differentiator.
Good luck — go own it.