Interview Handbook
Interview Handbook is a technical interview preparation resource covering backend engineering, machine learning, frontend, mobile, data science, data engineering, and product management.
Available Disciplines
Backend Engineering
System design, distributed systems, APIs, databases, and scalability.
Machine Learning
ML system design, model selection, evaluation, and deployment.
Web/Frontend
Frontend architecture, performance, state management, and UI systems.
Mobile
iOS, Android, cross-platform, offline-first, and mobile architecture.
Data Science
A/B testing, experimentation, metrics design, and statistical analysis.
Data Engineering
Data pipelines, ETL, streaming, warehousing, and data architecture.
Product Management
Product sense, metrics frameworks, roadmapping, and technical PM skills.
Usage
| Step | Action |
|---|---|
| 1 | Review core concepts applicable across disciplines |
| 2 | Select a discipline matching your target role |
| 3 | Complete practice questions and case studies |
| 4 | Conduct mock interviews to practice verbal explanations |