Senior SQL: System Design & Problem-Solving Interview Guide
Reference for navigating production-grade SQL architecture decisions, based on real Amazon assessment scenarios.
Interview-Prep
SQL Interview Questions — MySQL Solutions (Part 2)
Real-world SQL interview questions from Stripe, Google, Visa, Amazon, Accenture, Facebook and more, with detailed MySQL solutions.
SQL System Design & Problem-Solving Master Report (Part 1)
Senior-level SQL interview prep covering core gotchas and fundamentals, starting with NULL-handling traps.
Deep Learning Interview Map
A master navigation doc tracing why neural networks exist, through CNNs, detection/segmentation, and generative/attention/sequence models.
All Tree Models — v1 (Comprehensive Intuition Guide)
A walk through every major tree-based model, where each section ends with the specific weakness that motivated the next algorithm.
Agentic Systems & GenAI Engineering: Production Depth
Interview-ready reference on agentic AI/GenAI engineering — framework choices (LangChain vs CrewAI vs AutoGen), multi-agent orchestration, tool-calling, RAG architecture, and production concerns.
Apache Airflow — ML Orchestration Skeleton
A translation layer mapping ZenML pipeline concepts onto Apache Airflow architecture, for demonstrating orchestration fluency in interviews.
AWS Data Ingestion Pipeline — Production Architecture
High-level walkthrough of an AWS-based IoT data ingestion pipeline for a manufacturing use case, and how the core services connect end-to-end.
Core Statistical Concepts for Senior ML Scientists
A worked-example-driven refresher on core statistics, using a running coin-toss example to build fast, genuine intuition.
Information Theory — Memory Map for Tree Models
A compact memory map connecting entropy, Gini impurity, and information gain to the specific interview questions they answer.