Ranjan Kumar

Ranjan Kumar

AI & ML Engineer · Author · Educator

I help AI builders design, build, and ship production-grade AI systems that actually work, cost-effectively, through hands-on writing, books, and practical engineering guidance.

My Books

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Harness Engineering for Production AI Systems

Sensors, Gates, and Bounds for LLM Applications That Have to Work When the Model Doesn’t

Build the control layer around your LLM application: sensors that observe, comparators that check, gates that decide, and bounds that cap.

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The 7 GenAI Architectures

A Field Guide to Choosing the Right AI System — Before You Overbuild It

The seven architectures GenAI systems actually get built on, and how to pick the smallest one that solves your problem.

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The ChatML (Chat Markup Language) Handbook

A Developer’s Guide to Structured Prompting and LLM Conversations

Learn how to structure prompts using ChatML for predictable, production-ready LLM behavior.

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Building Real-World Agentic AI Systems with LangGraph

Designing, building, evaluating, and shipping stateful, durable, multi-agent systems on LangGraph 1.x

A practitioner's guide to designing, deploying, and operating reliable agentic AI systems in the real world.

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The Chat Templates Handbook

A Developer’s Guide to Jinja, apply_chat_template, and Rendering Model-Ready Prompts

A curated collection of battle-tested templates for common LLM tasks and workflows.

What I Write About

AI & ML Engineering

Production-ready AI systems, LLMs, and machine learning deployment strategies.

System Design

Scalable architectures, distributed systems, and infrastructure for AI applications.

Real-World Projects

Case studies, lessons learned, and practical insights from production deployments.

Past the Demo

One email a week on AI systems that hold up in production: the week's articles, plus one failure mode worth your ten minutes. Under five minutes to read.

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