Ranjan Kumar

Building Real-World AI Systems That Actually Work

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My Books

👉 The ChatML (Chat Markup Language) Handbook
📘 A Developer’s Guide to Structured Prompting and LLM Conversations
📗 Read on Kindle: https://www.amazon.in/dp/B0G2GM44FD

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MY BLOG POSTS

Building Agents That Remember: State Management in Multi-Agent AI Systems
Building Production-Ready Agentic AI: The Infrastructure Nobody Talks About
Why Asynchronous Processing & Queues Are the Backbone of Agentic AI
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
Provenance in AI: Tracking AI Lineage with Signed Provenance Logs in Python – Part 2
Provenance in AI: Why It Matters for AI Engineers – Part 1
LLMs for SMEs – 001: How Small Businesses Can Leverage AI Without Cloud Costs
LLM-Powered Chatbots: A Practical Guide to User Input Classification and Intent Handling
Reranking for RAG: Boosting Answer Quality in Retrieval-Augmented Generation