Here's the essay that I submitted as part of my application to the MSc Program at the University of Edinburgh. I really enjoyed thinking about, framing the argument, researching and putting this together. Excited about the Masters program and the opportunity to study and learn a whole new subject area. And serendipity or not, I... Continue Reading →
Notes from Vacation: Logical Positivism, LLMs, and Agents
Postcard from a vacation: I went to Vienna for the palaces. I came back thinking about LLMs, meaning, and what we're really building in Enterprise AI. A century-old philosophy debate turned out to have a lot to say about how we ground these systems. A few reflections from the trip.
The Difference That Makes a Difference: The case for Data in Enterprise AI
In 1909, biologist Jakob von Uexkull coined the term umwelt — the perspective-dependent universe of salient information that an organism uses to navigate the world. Every species constructs its own. The electromagnetic spectrum is vast, but humans perceive only a narrow band that we call 'light'. That is our umwelt: it defines our experience of... Continue Reading →
#82: How do we evaluate Agentic AI Systems? Part-2
Continuing from my previous post, this is an attempt to define metrics for measuring the quality of Agentic AI Systems
#81: How do we evaluate Agentic AI Systems? Part-1
I recently met with the Head of Data Science at one of the largest media conglomerates and as often happens these days, evaluation and quality of AI Agents came up. One of the most important problems he has been trying to solve is how to evaluate the quality of AI agents, and once in production,... Continue Reading →
Celebrating the learning and curious mindset 