Search: train

ML Training Pipeline Low-Level Design: Data Preprocessing, Experiment Tracking, and Model Registry

⏱ 6 min read Pipeline Stages Overview An ML training pipeline moves data through a sequence of well-defined stages: data ingestion, feature engineering, model […] Read article

Apr 17, 2026 System Design

Recommendation Feedback Loop Low-Level Design: Implicit Signals, Click-Through Tracking, and Model Retraining

⏱ 7 min read Recommendation Feedback Loop: Overview A recommendation system without a feedback loop becomes stale. The feedback loop closes the cycle: collect […] Read article

Apr 17, 2026 System Design

Backtracking Interview Patterns: Subsets, Permutations, N-Queens, and Constraint Satisfaction (2025)

⏱ 6 min read Backtracking Template Backtracking = DFS + undo. The universal template: choose (add to path), recurse (explore), unchoose (remove from path). […] Read article

Apr 17, 2026 Algorithms

System Design: ML Training and Serving Pipeline — Feature Store, Training, and Inference at Scale (2025)

⏱ 6 min read ML Platform Architecture Overview An ML platform has three distinct phases: Feature Engineering — transform raw data into model-ready features […] Read article

Apr 17, 2026 System Design

System Design Interview: Machine Learning Training Infrastructure

⏱ 10 min read Why ML Training Infrastructure Is a System Design Interview Topic Companies building AI products at scale — OpenAI, Google, Meta, […] Read article

Apr 16, 2026 System Design

Sudoku Solver: Backtracking with Constraint Propagation

⏱ 4 min read Sudoku Solver (LeetCode 37) is the canonical backtracking problem that tests constraint propagation, pruning, and disciplined state management. It appears […] Read article

Apr 16, 2026 Recursion

Fine-tuning LLMs vs Training from Scratch: When and How

⏱ 6 min read One of the most common LLM interview questions in 2026: “Would you fine-tune a model or train from scratch?” Almost […] Read article

Apr 16, 2026 AI/ML Interview Questions

Train/Test/Validation Split: The Right Way and Common Mistakes

⏱ 6 min read Train/test/validation splits are foundational — and routinely misunderstood. The most common mistake in applied ML is using the test set […] Read article

Apr 16, 2026 AI/ML Interview Questions

The Behavioral Interview & Salary Negotiation Playbook (With Real Scripts)

⏱ 6 min read Real STAR examples, the behavioral questions FAANG actually asks, and a salary negotiation playbook with word-for-word scripts and real number ranges. Read article

Jun 9, 2026 Interview Prep

Build a Custom Range Slider Component

⏱ 3 min read “Build a range slider” is a frontend machine-coding question that punishes assumptions. The native <input type="range"> works for simple cases […] Read article

May 6, 2026 Frontend Engineering