Principal Developer Advocate, Salesforce
Shaping how developers build AI agents on the Salesforce Platform

I'm a developer advocate with over a decade on the Salesforce Platform. I started my career in enterprise consulting at Deloitte and PwC, transitioned into ISV product development at CodeScience, and found my calling in developer advocacy at Salesforce — where I now help shape the tools, languages, and patterns that developers use to build intelligent agents and enterprise applications.

My current focus is Agentforce and Agent Script — the next generation of AI-powered development on Salesforce. I also contribute to the Einstein AI Platform, Data Cloud, and core platform capabilities like GraphQL APIs, Lightning Web Components, and Apex.

"Unreliable agents are not simply inefficient; they represent a significant source of operational, financial, legal and reputational risk." — quoted in The New Stack

The core of my current work — defining how developers build, test, and deploy autonomous AI agents on Salesforce.

• Agent Script Language — Helped shape and evangelize the Agent Script DSL, a hybrid reasoning language combining deterministic code with natural language prompts
• Agent Script Decoded — Authored the foundational blog post on Agent Script language fundamentals
• AgentLens — Zero-dependency browser tool that transforms Agentforce trace JSON into interactive diagrams, finite state machines, and step-by-step inspectors
• Agent Development Lifecycle — Reference implementations demonstrating sub-agents, mutable variables, flow control, and deterministic branching
• Agentforce Automation Transformation — Modernizing monolithic triggers into Agentforce-orchestrated modular actions
• Agentforce Deploy (MCP Server) — Python MCP server for deploying Agentforce agents
• Agentforce for Mobile — Coral Cloud iOS app showcasing Agentforce with native mobile via Core SDK

• Contributor to trailheadapps/coral-cloud — the flagship sample app demonstrating Agentforce, Data Cloud, and the Salesforce Platform for personalized experiences
• Built demos showcasing Data Cloud integration with Agentforce agents for real-time data grounding and personalization

• salesforce/einstein-platform — Contributor to the official LLM Open Connector framework enabling Bring Your Own LLM (BYOLLM) integration
• OpenLLMConnectorDemo — Node.js reference implementation connecting Hugging Face models to Einstein AI Platform
• Agentforce for Developers — Pivotal role in shipping AI-powered developer tools powered by Salesforce's proprietary LLMs
• Build Custom Agent Actions Using Apex — Guide to building custom Agentforce actions with Apex, Flows, and Prompt Templates

• Spring '26 Platform Demos — TypeScript in LWC, GraphQL mutations, dynamic event binding, Flow navigation, and enhanced PDF rendering
• DX-Code-Companion — VS Code extension for Salesforce metadata operations via Tooling API
• mo-dx-plugin — SF CLI plugin for faster deployments via Tooling API
• node-sf-bulk2 — Node.js SDK for Salesforce Bulk API 2.0
• salesforce-slack-starter-kit — Scaffold for building Slack apps integrated with Salesforce

Regular speaker at Dreamforce, TrailblazerDX, and Dreamin community conferences across the US.

• Agent Script Decoded: Intro to Agent Script Language Fundamentals
• MCP: A Practical Security Blueprint for Developers
• Introducing Agentforce for Developers
• Build Custom Agent Actions Using Apex
• Prompt Engineering for Salesforce Developers

• Salesforce Stack Exchange — Top contributor with thousands of answers across Apex, LWC, and platform development
• Google Scholar — Research cited in scholarly articles on Salesforce development, AI, and cloud computing
• Open Source — Maintainer of developer productivity tools, CLI plugins, and reference implementations