My passion lies at the intersection of purposeful technology and captivating experiences.

My fascination with digital biology led me down a rabbit hole. I've been learning extensively from the amazing OpenWorm initiative and applying LangGraph with AI/ML to see if we can give a simulated C. elegans true agency.

An Agent Mesh Architecture for Treasury and Liquidity Management (TLM) with source code on Github. https://github.com/chrisshayan/agentic-tlm

This article unveils a sophisticated AI architecture featuring 12 specialized agents working in concert, powered by LangGraph, RAG, and multi-modal AI, to dissect financial data, predict outcomes, and automate complex underwriting tasks.

This hands-on guide demystifies data contracts and equips you with the practical skills to implement them using the datacontract CLI. Discover how to define robust data agreements, automatically validate schema and quality.

Imagine every employee having their own personalized culture coach !!!

The lending landscape is clearly evolving, and I've been considering how Agentic AI, particularly when orchestrated with LangGraph, might offer new possibilities for Loan Origination Systems.

My latest article, "Know Your Data" breaks down zero-party, first-party, second-party, and third-party data, and explores how a Customer Data Platform (CDP) can integrate them for maximum impact.

A fascinating discussion with Lan Doan about her innovative use of AI in coaching and the thought-provoking HBR article “Want to Use AI as a Career Coach? Use These Prompts” by Tomas Chamorro-Premuzic have ignited a particular interest in me.

My latest blog post goes deep into the crucial role of ontologies in driving Explainable AI (XAI).