Why DistillPrep
Real Interview Thinking
We replicate “What-if?” scenarios used by MAANG interviewers to test reasoning under pressure.
Edge Case Mastery
Focus on traps, pitfalls, and non-obvious behavior that separates strong candidates from surface-level prep.
Concept > Memorization
Build intuition, not recall. Learn how systems, models, and code behave when the easy path breaks.
Available Learning Tracks
Python Mastery
Master Python interview questions through semantics, closures, memory models, and edge-case reasoning.
GenAI & LLMs
Master Transformers, RAG, embeddings, AI agents, and real-world LLM pitfalls asked in modern AI interviews.
GenAI Frameworks
LangChain, LlamaIndex, orchestration patterns, and framework-level production trade-offs.
NLP
Tokenization, embeddings, sequence models, and BERT.
Deep Learning
CNNs, RNNs, optimizers, and backpropagation traps.
Machine Learning
Bias-variance, metrics, and theoretical trade-offs.
ML Libraries
NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, and practical ML library interview questions.
DS & Statistics
Distributions, hypothesis testing, and Bayesian thinking.
DB & SQL
Window functions, join traps, and query optimization.
MLOps
CI/CD for ML, model drift, monitoring, and deployment.
Cloud (ML-focused)
AWS SageMaker, GCP Vertex AI, and ML infrastructure.
ML System Design
Feature stores, model serving, and production ML pipelines.
Performance Snapshot
Track progress across practice and tests.
Tests Completed
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Accuracy
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Avg Score
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Built for modern AI, ML, and GenAI interviews
DistillPrep is a premium system for concept-first learning across AI, ML, GenAI, and engineering. Instead of generic technical interview drills, we focus on MAANG-level preparation through practical MCQs, edge-case reasoning, and real-world failure modes that show up in serious interviews.
Need deeper explanations?
Pair your MCQ prep with practical writeups that unpack how strong engineers reason through ambiguity, traps, and non-obvious behavior.
Read the blogAbout DistillPrep
DistillPrep is built for AI interview prep, ML interview questions, GenAI MCQs, and LLM interview prep at a MAANG-level standard. We help candidates move beyond rote learning toward concept-first learning, practical reasoning, and deep familiarity with the traps that appear in modern AI, ML, and software engineering interviews.