Raj Krishnan

Practice a junior frontend developer interview focused on JavaScript fundamentals, React basics (components, hooks, state), modern CSS layout with Flexbox and Grid, and responsive design principles.

A comprehensive backend engineering interview covering system design, APIs, databases, and scalability.

Practice the fundamentals of data engineering: SQL queries, ETL processes, data warehousing concepts, and Python scripting for data tasks.

An advanced data engineering interview focused on distributed systems, real-time streaming architectures, data platform design, and performance optimization.

A mid-level data science interview covering machine learning algorithms, feature engineering, A/B testing methodology, and advanced SQL.

A mid-level AI engineering interview covering deep learning architectures, NLP techniques, model training best practices, and MLOps fundamentals.

An advanced AI engineering interview focused on LLM fine-tuning, RAG system design, model optimization techniques, and end-to-end AI system architecture.

A mid-level full stack interview covering React architecture, Node.js backend development, database design, and system design fundamentals.

An advanced full stack interview focused on microservices architecture, performance optimization, application security, and large-scale system design.

An advanced interview covering machine learning, statistics, data pipelines, and business impact of data science.

A mid-level data engineering interview covering data pipeline design, Spark processing, data modeling, and cloud platform usage.

A mid-level frontend interview covering React architecture, TypeScript patterns, state management with Context, Redux, or Zustand, and testing with React Testing Library and Jest.

An advanced frontend interview covering system design for complex web applications, Core Web Vitals optimization, WCAG 2.2 accessibility compliance, and leveraging AI tools like Copilot, AI-assisted testing, and prompt engineering for UI generation.