Interview tracksSystem & ML-System Design

Interview track

System & ML-System Design

Designing large-scale systems and ML systems end to end: tradeoffs, scaling, reliability and the serving stack behind real products.

Curated & expert-sourced - not AI-invented

8

interviews

Easy → Hard

levels covered

~30 min

average length

Voice-led

adaptive · curated

All interviews 8

Grouped by level - start anywhere

Easy

1 interviews

Scaling from Zero: Capacity Estimation and Core Building Blocks

Curated·Technical·Easy·~30 min

Medium

5 interviews

Distributed Systems: CAP Theorem, Consistency Models, and Trade-offs

Curated·Technical·Medium·~30 min

Distributed Systems: Consistent Hashing, Replication, and Partitioning

Curated·Technical·Medium·~30 min

Low-Level Design: Class Modeling, Design Patterns, and OO Problem Solving

Curated·Technical·Medium·~30 min

Storage Layer: Database Selection, KV Stores, and LSM Trees

Curated·Technical·Medium·~30 min

Storage Layer: Caching Strategies, Bloom Filters, and Skip Lists

Curated·Technical·Medium·~30 min

Hard

2 interviews

Designing Data-Intensive Systems: Stream Processing, Message Queues, and Metrics Pipelines

Curated·Technical·Hard·~30 min

ML Platform Design: Training Infrastructure and Distributed Training

Curated·Technical·Hard·~30 min