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followers: 4.0 following: 16.0 repos: 13.0 gists: 1.0

Name: Nate Dryer

Type: User

Bio: Bridging the gap between product management and AI/ML development.

Location: Los Angeles, CA

Blog: https://www.natedryer.com

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Hi there, I'm Nate👋

Product Manager with 10 years experience leveraging AI/ML, UX design, and data analysis to build intuitive, user-centric products that make a real-world impact. Passionate about using first-principle thinking to drive innovation and solve complex problems. Proven track record in leading cross-functional teams to ship digital, mobile, and AI-powered solutions across multiple industries, including healthcare, fintech, and technology.

My Stuff

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Email

LinkedIn Profile

Personal Website

Resume

My Projects

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Founded AI Trainers, a volunteer group, whose mission is to make AI more accessible by providing free and virtual custom trainings and resources. (Update: Facilitated a virtual workshop for Cincinnati Local Public Libraries in May 2024.)

Currently contributing to Open Interpreter, leveraging the Computer API to automate tedious macOS workflows.

WIP: Leveraging universal JSON Resume with Github Pages, I developed an interface that auto-generates my resume on demand in a theme appropriate for the viewer. You can check out my work so far at my resume.

My Skills

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AI/ML

Product

Technical

Design Tools

Nate Dryer's Projects

01

The open-source language model computer

anything-llm

The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.

json-resume-service

JSON resumes as a Service - generate Resumes from the resume.json schema

katana

llama-fs

A self-organizing file system with llama 3

nate-dryer

My personal README

oi-prompt-insights

A Streamlit app for eollecting, analyzing and gaining insights on Open Interpreter prompt efficacy

open-interpreter

A natural language interface for computers

open-interpreter-prompts

This is a prompt library designed to know what prompts will get you the desired output for using OI

prompt-eng-interactive-tutorial

Anthropic's Interactive Prompt Engineering Tutorial

prompt-engineering

Tips and tricks for working with Large Language Models like OpenAI's GPT-4.

rag-preprocessor

Text preprocessing for RAG-based information retrieval

setup-python-project

Automates the creation of a Python project directory, including virtual environment setup.

1

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