Pre-screening / Application Review
Goal: Ensure the candidate meets the basic requirements (skills, experience, degree).
How: A recruiter or hiring manager reviews your resume, projects, and background to determine if you're a good fit.
Tips:
Tailor your resume to highlight relevant experience (automation, AI, backend systems).
Mention the tech stacks used in your projects (like Form Easy or Student Accommodation Finder).
2. Online AI / Technical Interview (Your Upcoming Step)
Format: This may involve a live coding session or automated assessments using platforms like Codility or HackerRank.
Focus Areas:
Coding & DSA:
Problem-solving using algorithms (binary search, linear search).
Expect medium-level LeetCode problems.
System Design & Backend:
Questions on building fault-tolerant systems.
Database-related questions, including PostgreSQL and SQL queries.
AI & Automation:
Domain-specific questions related to automation and how AI applies to automobile systems.
Duration: Typically 45-60 minutes.
Tips:
Review OOP concepts, especially in the context of AI.
Prepare for system design discussions and SQL queries (joins, indexing).
Practice coding on paper or a whiteboard for a clear, step-by-step approach.
