Publication // Intelligence
System Design Interview Roadmap
Technology · English
This publication delivers technical walkthroughs and interview preparation guides for system design, covering distributed systems, machine learning architecture, and cloud infrastructure. It serves engineers preparing for FAANG roles or working on scalable backend services with specific focus on topics like message queues, fraud detection, and model optimization.
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Quantization & Pruning — Optimizing Models for Edge Deployment
2dDesign a Metrics Monitoring System (Datadog) — Walkthrough
5dMessage Queues: Kafka vs SQS vs Task Queue
7dA/B Testing for ML Models — Canary Releases and Shadow Mode in Inference
9dDesign a Web Crawler — Walkthrough
12dThe Silent Step 7 — the move that turns Hire into Strong Hire
14dModel Registry & Versioning: Managing the Lifecycle of ML Models
14dDesign a Payment Fraud Detection System
19dThe Most-Asked Question at Each FAANG
21dFeature Stores Explained: Storing and Serving ML Features in Real-Time
23dNotification Service — Model Answer
26dHow to Prepare for L6 When You're Currently L5
28dTopics
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