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Ranjan Kumar
Building Real-World AI Systems That Actually Work
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Category: AI & ML

AI & ML/GenAI/LLMs/Natural Language Processing - NLP

How Google’s SynthID Actually Works: A Visual Breakdown

Posted on December 16, 2025 by Ranjan Kumar / 0 Comment

1. Introduction I spent the last few days trying to understand how Google’s text watermarking works, and honestly, most explanations I found were either t...

AI & ML/GenAI/LLMs

Open Source AI’s Original Sin: The Illusion of Democratization

Posted on December 10, 2025 by Ranjan Kumar / 0 Comment

When Meta released LLaMA as “open source” in February 2023, the AI community celebrated. Finally, the democratization of AI we’d been promised...

AI & ML/GenAI/LLMs

The Tyranny of the Mean: Population-Based Optimization in Healthcare and AI

Posted on December 8, 2025 by Ranjan Kumar / 0 Comment

Modern healthcare and artificial intelligence face a common challenge in how they handle individual variation. Both systems rely on population-level statistics ...

AI & ML/GenAI

The Splintered Web: India 2025

Posted on December 7, 2025 by Ranjan Kumar / 0 Comment

Think about how you use the internet today. You Google something, or you ask ChatGPT. You scroll through Twitter or Instagram. You read the news on your phone. ...

Agentic AI/AI & ML/GenAI

The AI Ouroboros: How Gen AI is Eating Its Own Tail

Posted on December 5, 2025 by Ranjan Kumar / 0 Comment

Imagine a photocopier making copies of copies. Each generation gets a little blurrier, a little more degraded. That’s essentially what’s happening w...

Agentic AI/AI & ML/AI Engineering/GenAI

Building Agents That Remember: State Management in Multi-Agent AI Systems

Posted on November 30, 2025 by Ranjan Kumar / 0 Comment

Why context windows fail — and how memory architectures, retrieval systems, and workflow state machines transform LLMs into reliable, production-grade agents. T...

Agentic AI/AI & ML/AI Engineering/GenAI

Building Production-Ready Agentic AI: The Infrastructure Nobody Talks About

Posted on November 27, 2025 by Ranjan Kumar / 2 Comments

In my previous article, I wrote about why asynchronous processing queues are the backbone of agentic AI. The response was overwhelming—dozens of engineers reach...

Agentic AI/AI & ML/AI Engineering

Asynchronous Processing and Message Queues in Agentic AI Systems

Posted on November 27, 2025 by Ranjan Kumar / 0 Comment

1. Introduction Modern agentic AI systems behave less like monolithic LLM applications and more like distributed, autonomous workers making decisions, invoking ...

AI & ML/Software Development/Software Testing

Playwright + AI: The Ultimate Testing Power Combo Every Developer Should Use in 2025

Posted on November 24, 2025 by Ranjan Kumar / 0 Comment

Modern software development moves fast—sometimes a little too fast. As developers, we’re constantly shipping new features, handling complex frontends, and makin...

AI & ML/GenAI/LLMs/Natural Language Processing - NLP

🚀 Introducing My New Book: The ChatML (Chat Markup Language) Handbook

Posted on November 17, 2025 by Ranjan Kumar / 0 Comment

A Developer’s Guide to Structured Prompting and LLM Conversations 📘 Available on Kindle → https://www.amazon.in/dp/B0G2GM44FD📗Read Online (Open Access) 🧠 Why I ...

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MY BLOG POSTS

  • How Google’s SynthID Actually Works: A Visual Breakdown
  • Open Source AI’s Original Sin: The Illusion of Democratization
  • The Tyranny of the Mean: Population-Based Optimization in Healthcare and AI
  • The Splintered Web: India 2025
  • The AI Ouroboros: How Gen AI is Eating Its Own Tail
  • Building Agents That Remember: State Management in Multi-Agent AI Systems
  • Building Production-Ready Agentic AI: The Infrastructure Nobody Talks About
  • Asynchronous Processing and Message Queues in Agentic AI Systems
  • Playwright + AI: The Ultimate Testing Power Combo Every Developer Should Use in 2025
  • 🚀 Introducing My New Book: The ChatML (Chat Markup Language) Handbook
  • 🚀Hands-on Tutorial: Fine-tune a Cross-Encoder for Semantic Similarity
  • 🔎 A Deep Dive into Cross-Encoders and How They Work
  • 🔎Building a Full-Stack Hybrid Search System (BM25 + Vectors + Cross-Encoders) with Docker
  • 🔎BM25-Based Searching: A Developer’s Comprehensive Guide
  • ✨When Models Stand Between Us and the Web: The Future of the Internet in the Age of Generative AI✨
  • 🚀 Cursor AI Code Editor: Boost Developer Productivity with MCP Servers
  • Building Privacy-Preserving Machine Learning Applications in Python with Homomorphic Encryption
  • Provenance in AI: Auto-Capturing Provenance with MLflow and W3C PROV-O in PyTorch Pipelines – Part 4
  • Navigating AI Risks with NIST’s AI Risk Management Framework (AI RMF)
  • Provenance in AI: Building a Provenance Graph with Neo4j – Part 3

Categories

  • Agentic AI
  • AI & ML
  • AI Engineering
  • Computer Vision
  • Deep Learning
  • Deep Reinforcement Learning
  • Explainable AI
  • GenAI
  • Information Retrieval
  • IoT / Edge Computing
  • LLMs
  • Medical Imaging
  • Natural Language Processing – NLP
  • Python
  • Security
  • Software Development
  • Software Testing
  • Unstructured Data
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