Home/AI/ML Interview Preparation Notes
⌂ Main Page
Andrew Nedilko

My AI/ML Interview Preparation Notes

Structured, no-fluff study notes on agentic AI, generative AI and large language models, and the machine-learning and deep-learning fundamentals underneath — distilled for senior-level interviews and real-world engineering.

Section 01

Basics of Agents

RAG, agent architectures and workflows, memory and context management, frameworks, evaluation, and the MCP & A2A protocols.

Section 02

GenAI and LLMs Summary

Pretraining, SFT & RLHF, policy optimization (PPO/GRPO/DPO), PEFT & quantization, transformers, attention, embeddings, sampling, and responsible AI.

Section 03

Deep Learning and Machine Learning

Learning paradigms, backpropagation, losses and regularization, optimizers, classic ML algorithms, metrics, dimensionality reduction, and ML at scale.