Practical AI Notes for Builders

Build Better AI Systems, Faster

I am Ravi, and this is where I publish practical walkthroughs on machine learning, LLM engineering, reinforcement learning, and data systems. Every post is designed to be implementation-ready, not just concept-heavy.1

Start RL Series Start LLM Series

Hands-on Code-first Production-minded Research-informed

LLM Tutorial Series

Learn by building with LangChain, tools, and applied assistant workflows.

Fun with AI: LangChain and GPT-3.5 Turbo Unleashed. Meet Kangala!

Published: March 5, 2025 · Foundations Read article

Leveraging Tools in LangChain: Building a Smart Kangala Care Assistant

Published: March 5, 2025 · Tools and Agents Read article

Reinforcement Learning Series

From tabular control to deep function approximation and policy gradients.

SARSA vs Q-Learning: Understanding On-Policy and Off-Policy RL

Published: March 17, 2026 · Core Concepts Read article

Expected SARSA: Bridging On-Policy and Off-Policy TD Control

Published: March 19, 2026 · Variance-Aware TD Learning Read article

Deep Q-Networks: From Tables to Neural Function Approximators

Published: March 28, 2026 · Deep RL Foundations Read article

REINFORCE: Direct Policy Optimization After Deep Q-Learning

Published: March 30, 2026 · Policy Gradient Methods Read article

If you prefer learning by implementation over slides, this site is built for you.

Footnotes

  1. The thoughts and opinions shared in this blog are my own. Any product or company names mentioned are trademarks of their respective owners.↩︎