AI-First Marketer & Self Taught Agent Builder
I'm a marketing leader in a San Francisco Bay Area tech company, over the years I have held progressive roles across Product Marketing, Field, Brand, and Demand Generation functions.
Fascinated by AI's potential in marketing, I've taken a hands-on approach to mastering this technology by building practical AI agents that solve real marketing problems.
I bridge marketing expertise with technical skills to create solutions that automate marketing workflows, deliver data-driven insights, and enhance customer experiences. My approach leverages large language models, strategic prompt engineering, and function calling to build intelligent agents that reason through complex challenges and take autonomous action.
An intelligent Tool-Based AI agent built using the ReAct pattern that helps users plan travel by accessing destination weather, flights, and attractions.
A Retrieval Augmented Generation (RAG) agent built to provide intelligent marketing insights and recommendations based on your marketing documents and industry best practices.
This AI agent demonstrates automation of multi-step marketing workflows using the ReAct (Reasoning + Acting) pattern. The agent can analyze marketing campaign data, generate content based on insights, and schedule content for publishing.
In my experience of leading marketing teams through this age of rapid change, I've observed that AI isn't the silver bullet many vendors promise. It requires intentional strategy, cross-functional alignment, and a commitment to learning fundamentals.
My journey into AI agent development began with simple curiosity. Like many in the tech world, I had been watching the rapid advancement of large language models (LLMs) and was fascinated by their potential.
Prompt engineering is as much an art as it is a science – it requires both structured methodology and creative intuition. Learn how different agent types benefit from specialized prompting strategies.