Last weekend I built a Data Engineer Agent with three different agentic frameworks: IBM watsonx.orchestrate, LangGraph, and CrewAI. My goal was to compare: How each framework thinks about ...
I recently chatted with my college friends who are going through interviews for deployed engineer positions. As I looked through their interview prep, I realized that it’s eerily similar to my role...
I recently chatted with my college friends who are going through interviews for deployed engineer positions. As I looked through their interview prep, I realized that it’s eerily similar to my role...
I asked a coding agent, IBM Bob, to add a retry mechanism to the watsonx.data Intelligence MCP server. In under an hour, it generated the system hierarchies, integrations, configs, tests, and docum...
When your data is messy, incomplete, biased, or misaligned with the task, it inevitably shows up as weak or unstable evaluation metrics. This guide explains major evaluation metrics across generati...
Back in 2024, my team and I fine-tuned a Lllama model leveraging InstrutLab and Large-scale Alignment for Chatbot (LAB) method: generating synthetic data with a teacher model, and performing Parame...
We hosted the first stop of our regional TechXchange workshop at the IBM Innovation Studio in Washington, DC back in August 2025. In this blog, I will share some of my takeaways as an architect and...
In the last post we have learned about the AI Ladder. Let’s see it in action - in a fictitious insurance company: Henry-Insurance Table of Contents Example: Applying the AI Ladder in an Insuran...
The AI Ladder: Accelerate Your Journey to AI, authored by Rob Thomas, IBM Senior Vice President, offers a practical roadmap for business leaders navigating rapid technological change. In this post,...
This RAG project started as a simple side experiment with my colleague Brian Paskin back in 2023. What began as a small weekend curiosity quickly revealed how Retrieval-Augmented-Generation can hel...