Gaurav Varma

AI-First Marketer & Self Taught Agent Builder

Background

Gaurav Varma

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.

AI Agent Portfolio

Travel Planner Agent

An intelligent Tool-Based AI agent built using the ReAct pattern that helps users plan travel by accessing destination weather, flights, and attractions.

ReAct Pattern Function Calling Python
View Repository

RAG Marketing Agent

A Retrieval Augmented Generation (RAG) agent built to provide intelligent marketing insights and recommendations based on your marketing documents and industry best practices.

Chain-of-Thought Marketing Insights Campaign Analysis
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Marketing Workflow Agent

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.

Workflow Automation Marketing Analysis Content Generation
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Skills & Expertise

AI Technologies

  • ReAct Agent Architecture
  • Chain-of-Thought Prompting
  • Few-Shot Learning
  • LLM Function Calling
  • Prompt Engineering

Marketing

  • Marketing Strategy
  • Demand Generation
  • Field Marketing
  • Product Marketing
  • Content Strategy

Technical

  • Python
  • API Integration
  • Data Analysis
  • JSON Processing
  • Web Development

Blog

AI Journey Implementation Timeline

The Reality: AI is Hard

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.

Multi-Agent Architecture

How to Create an AI Agent from Scratch

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 in AI Agents

The Art and Science of Prompt Engineering in Multi-Agent Systems

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.

Get In Touch

Interested in discussing AI-driven marketing solutions? Let's connect!