Architecting Intelligence
Pawan K JhaDeep dives into AI/ML systems, LLM engineering, RLHF, agentic AI, distributed training, and the infrastructure powering modern AI.
| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 56 | Founded | a year ago | Last Issue | 39 hours ago |
| Active | |||||
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pawankjha.substack.comLatest Issues
Building Depth #1 — The Evolution of Retrieval Systems in Search & Recommendation
Cracking ML System Design Interviews: From Inverted Indexes and Collaborative Filtering to Dense, Hybrid, Multimodal, and Agentic Retrieval
A Note on the Series and Parts:
Introducing Architecting Intelligence Premium
Let me start with a personal story.
I still remember myself as a high-school student in a small town in Bihar, India, around the turn of the millennium.
I had left my village to continue my studies in a nearby town. I was studying Physics...
Architecting LLM Inference: Part 1: How Large-Scale LLM Inference Actually Works
Building an end-to-end mental model from user prompt to final token generation
A Note on the Series and parts:
We Built Agents That Can Attack. Now We Need Agents That Can Defend.
Introduction:
For the last two weeks, I’d been writing my upcoming Architecting AI Coding Systems Substack series — unpacking agents like Claude Code, Codex, and Cursor, and designing a basic one from first principles — when reports of...
The Architecture Behind Modern ML Systems — Part 1: Modern Distributed Compute Systems
A Note on the Series and Parts
The Architecture Behind Modern ML Systems is a deep-dive series focused on the recurring architectural problems behind ML, AI, and LLM infrastructure.
Rather than learning tools in isolation, the series...
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| Subscribers | Engagement | 72 | Monthly Web Visits | ||
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Authors
The writers behind this newsletter.
Sr. Principal AI/ML Scientist & Systems Architect with nearly two decades building production AI/ML systems. I write deep dives on LLM inference, ML platforms, GenAI infrastructure, and production AI.
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