Hi, I'm John Packer

AI Agent Engineer | Executive Coach

Smart companies build AI.
Great ones build trust.
I help you build both.

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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. 

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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

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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.

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