Writing
AI Blog
Technical deep-dives on LLMs, system design, and building AI-powered products. No fluff — things I've actually built and learned from.
RAG, LLM‑Wiki, or GBrain? Which Knowledge Architecture Your Agent Needs
RAG scales, LLM‑Wiki compounds knowledge, and GBrain/fat‑skills act. How to pick and combine these architectures for a practical agent.
Tracking the India Market During the Strait of Hormuz Crisis — April 2026
How crude at $115, a LICI bonus, ethanol policy, and defensive rotation shaped my trading week.
Building a Production LLM Gateway: Routing, Guardrails & Observability
How I built a self-hosted AI gateway that routes across GPT-4, Claude, and Gemini — with full cost tracking, content moderation, and trace-level observability using LiteLLM and Langfuse.
Natural Language to MongoDB Queries: How I Built It
A deep dive into building an NLP-to-query pipeline using LangChain and Gemini that lets non-technical users query a MongoDB database in plain English.
LiteLLM + Langfuse: My Stack for AI Cost & Quality Control
Running LLMs in production gets expensive fast. Here's the observability and routing stack I use to monitor costs, catch quality regressions, and keep AI features reliable.
More posts coming soon
I'm writing detailed technical posts on LLM gateway architecture, NLP-powered query systems, and cloud cost optimization. Check back soon.