Practical articles on AI engineering, LangGraph, RAG, voice agents, backend systems, and production software — from a Principal AI Engineer with 15+ years in the field.
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Voice RAG for Regional Languages: A Kannada + English Agent on AWS Bedrock
A live code-mixed Kannada + English voice agent, built with Sarvam speech-to-text and AWS Bedrock (Claude + Titan). How RAG turns "I can't help" into an exact, cited answer — with code, architecture, and video.
Will AI Recommend Your Business? What Generative Search Means for Getting Found
Your customers are asking ChatGPT, Claude, and Perplexity for recommendations instead of scrolling Google. A plain-language guide for business owners on how AI search decides who it recommends — and how to be the answer.
How Does a Machine Learn? The Intuition Behind Linear Regression
A beginner-friendly walkthrough from a demo session at Masai School: predict a salary from years of experience, guess the line y = mx + c, and watch a machine learn by shrinking its own error — ending with the intuition behind gradient descent.
A neural search engine surfaced my name to a stranger who then emailed me — no one typed my name. Part 2 of my GEO series: what Exa actually is, an inventory of everything I've shipped for SEO and GEO to date, and the identity-ownership step most people skip (rel=me, sameAs, and an ownership statement in llms.txt).
Agents Don't Fail Like Services Fail — And We're Not Tooled For It
A microservice dies loudly — a 500, alerting, a tripped circuit breaker. An agent fails silently, synthesizing confidently on top of garbage or burning tokens in a reasoning loop. Building a multi-agent stock recommender exposed the gap in agent reliability tooling — and the gateway and chaos harness I'm building for it.
A condensed, practical guide to Generative Engine Optimization — how I made this site findable and citable by ChatGPT, Claude, and Perplexity, with real code from my own site. Plus: it's open source.
Learn the 5 SOLID principles (SRP, OCP, LSP, ISP, DIP) with code examples, pros & cons, and real-world scenarios. Refactor and optimise Java code for better maintainability and scalability.
Rating: 4.1 (16 ratings) |
297 students |
1hr 12min video
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Two Agent Stacks, One Problem: A2A/MCP on Bedrock vs. LangGraph
Two agentic systems on deliberately different foundations — native AWS Bedrock with A2A/MCP vs. LangGraph + LangChain. What actually differed under the hood: orchestration as a protocol vs. a state machine, eval granularity, and how you keep reasoning grounded.
JWT Authentication in Spring Boot + React: Complete Guide
Learn how to implement secure JWT-based authentication in your Spring Boot backend with React frontend. Covers token generation, validation, refresh tokens, and production best practices including security considerations.