Our Mission
To provide AI engineers with a platform that tests not just what they know, but how they think. We focus on "What-if?" scenarios, edge cases, and non-obvious behaviors that define expert-level engineering.
Our Philosophy
We believe in concept-first learning. If you understand the underlying mechanics of a transformer, a gradient descent variant, or a distributed system, you can solve any problem—even ones you've never seen before.
Why DistillPrep Exists
Most interview prep platforms focus on volume—thousands of questions that often repeat basic definitions. In real MAANG interviews, the interviewer doesn't just ask for a definition; they change a parameter and ask how the system responds.
DistillPrep replicates this high-signal environment. Our MCQs are designed by engineers who have been on both sides of the table at top-tier tech companies. We focus on the traps that separate good candidates from great ones.
The DistillPrep Approach
Reasoning-First Curriculum
Every question is built around a core concept, requiring deduction rather than recall.
AI/ML Industry Focus
We stay at the bleeding edge, from classical ML theory to the latest in LLM architecture and GenAI deployment.
MAANG-Level Rigor
Our questions match the difficulty and ambiguity found in senior engineering interviews.
Built for AI engineers, by engineers who care about clarity.