> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kha.im/llms.txt
> Use this file to discover all available pages before exploring further.

# Lindy

> Forward Deployed Engineer building production AI agents

<img src="https://mintcdn.com/kha-c50382b4/tqQWqYLJOFEEcD8O/images/logos/lindy.png?fit=max&auto=format&n=tqQWqYLJOFEEcD8O&q=85&s=36d7de68305051688471ead7ad0cb907" alt="Lindy logo" style={{ width:"80px",height:"80px",borderRadius:"50%",border:"1px solid rgba(255, 255, 255, 0.1)",marginBottom:"24px" }} width="225" height="225" data-path="images/logos/lindy.png" />

**August 2025 - Present**

## Role

Forward Deployed Engineer at Lindy

## What I'm Building

Scoping, building, deploying, and maintaining production-grade AI agents for SMBs and enterprises across sales, operations, marketing, and customer support. These agents automate manual work and create measurable time savings for teams.

## Key Accomplishments

* **Shipped 20+ production AI agents** for businesses across multiple functions, automating workflows and **saving 1,000+ hours in total** for customers
* [**Launched Lindy AI CMO**](https://tinyurl.com/lindyaicmo), a suite of AI agents that create end-to-end marketing campaigns, driving **+10k website visitors (+13%)** and establishing marketing as a core industry vertical for the platform
* **Led user research initiative** with 20+ customer calls, surfacing insights and solutions that shaped product roadmap and drove user experience improvements into production
* **Defined and partnered with engineering** on major improvements to P0 integrations (HubSpot, Salesforce, etc.), enabling core platform capabilities for both direct clients and the broader user base

<Card icon="external-link" href="https://tinyurl.com/lindyaicmo" title="Lindy AI CMO">
  See the launch post and demo of the AI marketing suite I built
</Card>

## How I Deliver AI Agents

<Steps>
  <Step title="Scope">
    Work directly with customers to understand their workflows, pain points, and success criteria. Every company is different, even if they're in the same field. Different styles of working, practices, and processes. Define what the agent needs to do and how success will be measured.
  </Step>

  <Step title="Build">
    Design the agent architecture, configure integrations, write custom logic, and build any necessary components. Test thoroughly before deployment.
  </Step>

  <Step title="Deploy">
    Ship the agent to production, monitor initial performance, and ensure things are working correctly. Gather early feedback from users.
  </Step>

  <Step title="Maintain">
    Continuously monitor agent performance, fix issues as they arise, and iterate based on user feedback and changing requirements.
  </Step>
</Steps>

## What I Learned

Building AI agents for dozens of clients taught me how to rapidly ramp up in completely new industries. I worked with sales organizations, dental practices, marketing agencies, customer support teams, and more. Each client brought a different domain with their own workflows, terminology, and pain points.

For each project, I immersed myself in their world. I'd conduct discovery calls, shadow their processes, and learn their business models from the ground up. A sales organization operates differently than a payroll company or an ICU room doctor, but the process is the same: understand the workflow, identify where AI can help, build something that actually works in their day-to-day operations.

This hands-on approach taught me how to ask the right questions, learn new domains quickly, and translate real business problems into working solutions. The faster you can understand someone's work, the faster you can build something that helps them.