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5 articles

System Design: Designing a Content Moderation System (Meta/TikTok Scale)

System Design: Designing a Content Moderation System With billions of users uploading content every minute, platforms like Meta, YouTube, and TikTok must identify and remove harmful content (hate speech, violence, misinf…

Apr 20, 20263 min read

Case Study

#system-design#content-moderation#machine-learning

System DesignAdvanced

System Design: Designing a Real-time Recommendation Engine (TikTok / Netflix)

System Design: Designing a Real-time Recommendation Engine A recommendation engine is the "secret sauce" behind platforms like TikTok, Netflix, and Amazon. Its goal is to predict what a user will like next based on their…

Apr 20, 20263 min read

Deep Dive

#system-design#recommendation-engine#ai

System DesignAdvanced

System Design: Building a Fraud Detection Platform

Fraud detection is not a single model. It is a decision system that has to operate under latency pressure, incomplete information, adversarial behavior, and messy business trade-offs. If the system is too loose, fraud lo…

Apr 10, 202613 min read

Deep Dive

#system design#fraud detection#payments

AI/MLAdvanced

System Design: Building a Feature Store for Real-Time Machine Learning

Production machine learning systems fail when the model sees different data in training than it sees in production. A feature store helps solve that problem. It provides a consistent way to define, compute, store, and se…

Apr 7, 20265 min read

Deep Dive

#feature store#machine learning#system design

AI/MLAdvanced

Fine-Tuning LLMs: When to Fine-Tune, When to Prompt

Fine-tuning is often the wrong choice. Most problems that engineers reach for fine-tuning to solve are better solved with better prompt engineering, few-shot examples, or RAG. But when you genuinely need fine-tuning — fo…

Mar 27, 202510 min read

Deep Dive

#ai#llm#fine-tuning