Ace your technical interviews.

What makes technical interviews hard

Technical interviews test two things simultaneously: your ability to solve problems and your ability to communicate your thinking clearly under pressure.

Most candidates practice LeetCode but ignore the communication layer. When a Google interviewer asks "how would you scale this to 10 million users?" they're not just testing your architecture knowledge — they're testing how you think out loud.

How InterprepAI prepares you

• →Questions are pulled from your actual CV and the job description — so you practice the specific gaps you have for that specific role
• →The AI asks follow-up questions: "How would you handle failure in that system?" "What's the trade-off of that approach?"
• →Your answer is scored on technical depth (not just correctness), communication clarity, and problem-structuring approach
• →The report tells you exactly where your technical depth score dropped and what a stronger answer would have looked like

System Design

Design distributed systems, APIs, databases, and infrastructure. Scored on scalability thinking, trade-off articulation, and depth.

Algorithms & Data Structures

Walk through problem-solving approach verbally. The AI probes your reasoning, not just your answer.

Architecture Deep-Dives

Defend past technical decisions and explain the trade-offs you made. Built from your CV.

Debugging & Code Review

Explain how you'd approach finding and fixing production bugs. Communication and methodology scored.

Technical Leadership

How do you make technical decisions? How do you handle technical debt? For senior roles and staff+ levels.

Domain-Specific Technical

Frontend performance, backend scaling, data engineering pipelines, ML model deployment — matched to your CV.

Software Engineer

Now at Google, L5