Smart companies build AI.
Great ones build trust.
I help you build both.
Hire Me
See My Work
About Me
Experience
Skills
Trust is the ultimate currency for businesses because it’s getting rarer by the day. We are all being overloaded with misinformation, automation, and noise, and people are becoming far more selective about who they believe and buy from. The real competitive edge isn’t more data or faster tools, it’s credibility. The leaders who figure out how to use AI to earn trust, not erode it, are the ones who will win the long run.
As an AI agent engineer and executive coach, I love logic and math, but I see the human experience as a vital piece of the equation. My experience is in financial technology, executive coaching, and AI architecture. I’ve led business intelligence initiatives at Goldman Sachs, led a team that managed large-scale data systems at a Silicon Valley Fin-Tech company called Addepar, and I built and sold a production-grade AI platform acquired by Partnerable.AI in 2024.
My specialty is building AI systems that transform people into powerful creators. I design intelligent digital agents and coach the humans who run them so they can move from maintenance mode to innovation.
When I’m not working, I’m probably playing basketball, running, exploring the mountains with my wife, Alyse, or launching rockets in the park with our two kids. Recently, I’ve been experimenting with woodworking and my proudest projects so far an oak Tesla truck and a red cedar sauna.
Learn More
About Me
Experience
Skills
AI Agent Engineer
2025 - Present
Attentional Leadership Institute
AI Agent Engineer
2024 - 2025
Partnerable AI
Executive Coach
2021 - 2024
John Packer Coaching, LLC
Team lead
2018 - 2021
Addepar
Senior Associate
2013 - 2018
Goldman Sachs
B.S. in Economics
2013
University of Utah
Learn More
About Me
Experience
Skills
Learn More
Designing and coordinating intelligent agents that use large language models (LLMs) to plan, reason, and act across tools and APIs (LangChain, AutoGen, CrewAI).
LLM Integration & Orchestration:
Prompt Engineering & System Prompt Design:
Retrieval-Augmented Generation (RAG):
API & Tool Integration:
Machine Learning & Data Foundations:
MLOps & Scalable Deployment:
Systems Thinking & Architecture Design:
Seeing the big picture: how human workflows, data pipelines, and agent logic interconnect into a cohesive ecosystem.
Crafting precise instructions, roles, and constraints to shape agent behavior and reliability.
Building systems that connect models to live or proprietary knowledge bases for accurate, context-rich responses (FAISS, Pinecone, Weaviate).
Connecting AI agents to real-world systems, CRMs, communication platforms, and data sources, so they can do things, not just talk about them.
Understanding model training, fine-tuning, and evaluation to adapt open models or create specialized agent behaviors.
Using modern DevOps practices (Docker, Kubernetes, CI/CD pipelines) to deploy and monitor AI systems reliably and efficiently.
In this guide, you’ll discover five powerful AI applications every business leader should understand, complete with real examples, data, and practical strategies to help you stay ahead...
Read More
In just 90 days, you can streamline key workflows and take repetitive busywork off your team’s plate without needing a deep tech background or a huge IT budget.
Read More
If you’re looking at the AI hype cycle and thinking, “We’re late to the party”, take a breath. You might actually be in a better position than you think.
Read More