I'mSam Muthu

After years of building enterprise systems — from Wells Fargo's identity platform to HP's webOS ecosystem to Ericsson's global streaming infrastructure — I realized something: the craft of software engineering has fundamentally changed.

The skills that matter now aren't memorizing APIs or writing boilerplate. They're architectural intuition, problem decomposition, and knowing how to orchestrate AI models to produce reliable, production-quality output. I've been proving this since 2025 — not by reading papers, but by shipping live side projects. Every project below was built by one engineer and an LLM Council of AI collaborators.

The Onyx RAG Platform below was one of the first examples — a retrieval-augmented generation prototype with multi-tenant architecture, custom PDF connectors, and semantic search, built in weeks instead of quarters. Since then the same approach has produced production RAG on pgvector with hybrid search and re-ranking, and Mnemos, my open-source local RAG.

Inspired by @naval's wisdom "It's actually 10,000 iterations to mastery, not 10,000 hours. And it's not even 10,000 but some unknown number—it's about the number of iterations that drives the learning curve."

Iteration is NOT repetition Repetition is doing the same thing over and over. Iteration is modifying it with a learning and then doing another version—that's error correction. Get 10,000 error corrections in anything, you'll be an expert

Interestingly, Hindu traditions understood this with mantras repeated 108 or 1,008 times—but perhaps what was lost in translation was the iteration aspect. It wasn't just repetition, but conscious refinement with each cycle.

I built this video segment looper for deliberate practice—to master concepts through conscious iteration, not mindless repetition. While I can't release it publicly due to content rights, if you're interested in the concept, reach out. Together we could create a platform where people upload their own content for iterative learning.

From ZenAlgo to Cloud Architecture. From AI Development to DevOps Excellence.

I'm building the technical learning platform I wish existed—where complex concepts become crystal clear through interactive visualizations, real-world projects, and battle-tested patterns.

Master the art of scaling from 1K to 1 Billion users with proven DevOps strategies

Now live: deep dives on the MCP server pattern, enterprise RAG, observability and evals, and the Claude Architect Field Guide — plus the Onyx RAG Prototype.

Banking-grade reliability discipline plus production agentic AI: as your next AI architect, or as your consultant