View more of my AI Artwork here and at shots.jdavis.xyz. You can find Web3 projects at jdavis.xyz.
My name is Jeff and you have stumbled upon a wonderful space where I share artificially intelligent things I have designed, built & shipped. That includes data analysis, machine learning, and natural language processing as well as a few pet projects.
I am constantly pushing the boundaries of generative AI, focusing on creating more human-centric, ethical, and transformative applications that can reshape industries and enhance user experiences across multiple sectors.
I combine a deep technical AI expertise with a strong background in creative direction and user experience design bringing a holistic approach to AI development, creating solutions that are not only technically advanced but also intuitive, engaging, and aligned with users needs and business objectives.
I want to change people’s everyday lives for the better.
![]() ![]() ![]() |
LlamaIndex Agentic RAG-a-thon with Pinecone and VESSL AI [^1][^2] 500 Global HQ - Palo Alto, Ca 2024 🥉 3rd Place Winner Won Third Place at a 48 hour hackathon in the heart of Silicon Valley with 40+ projects by 500+ world class hackers. My project, “OilyRAGs”, is a catalog of multimodal Retrieval Augmented Generation (RAG) chatbots that automate tasks, optimizes operations, and helps diagnose mechanical issues utilizing AI and machine learning. I designed, built, and pitched the project which was coded in Python using Streamlit, LlamaIndex, Pinecone and OpenAI GPT, Whisper, and Vision models. 🏆 Best use of Arize AI Phoenix A secondary project which was submitted by a team I worked with over the course of the weekend also was awarded by Arize Ai for "Best use of Arize AI Phoenix". “OpsRocket” offers high-quality business operations analysis and execution that helps any businesses improve revenue, cut costs, and reduce risks faster than humanly possible. Footnotes [^1]: https://rag-a-thon-2.devpost.com/project-gallery [^2]: https://www.llamaindex.ai/blog/agentic-rag-a-thon-2-winners-and-recap [^3]: https://www.llamaindex.ai/blog/oilyrags-building-a-rag-powered-mechanic-assistant-with-ai |
Years of experience in both user research and human-computer interaction have enabled me to be extremely proficient with most creative, documentation, and prototyping applications and services. I am also a skilled engineer with broad exposure and experience designing, prototyping, and developing complex workflows, multimodal chatbots, and generative AI applications.
Here is a general list of tools that I am proficient with:
Adobe CC (After Effects, Firefly, Illustrator, InDesign, Photoshop, Premiere, XD…); Google Analytics, HotJar, KardSort, Lookback, UserTesting; Figma, Framer, InVision, Sketch, Uizard, Zeplin; FigJam, LucidChart, Miro; Hex, Streamlit; Glyphs; LangChain, LlamaIndex, LLM, CSS, HTML, JavaScript, Python, SQL; Bootstrap, Material, Next.js, Node, React, Tailwind; AWS, CoPilot, Git, Heroku, Hugging Face, Railway, Vercel; AirTable, Google Workplace, Trello; Blockchain, DeFi, IPFS, NFT, Web3
Click the button to schedule a call to learn how I can help you add generative AI to your product, service, or workflow.
# INSTALL
pip install me @your_company
[!IMPORTANT]
Need help?
I am currently available for new projects!
AI Product Design Engineer
Sorcery AI
2017-Present
Creative Director & Product Designer
Branded UX
2008-Present
Anthropic's Claude was quoted as saying, "he's an AI Visionary & Creative Technologist with over 20 years of experience bridging art, technology, and artificial intelligence" when prompted to summarize my career.
Product Design Consultant
Wolfe LLC
2023-2024
UX/UI Design Consultant
Kopius
2022
UX Director
Kea
2017-2018
UX / Visual Design Consultant
Oracle
2015
UX / Visual Design Consultant
AT&T
2014
UX / Visual Design Consultant
General Motors
2013-2014
Designer
Alphabet (Google/YouTube)
2012-2014
Artificial Intelligence
Columbia University
Graphic Design
University of Tennessee
The extended Experience and Education documentation can be found on Linkedin.
These following projects are works in progress, so you may experience bugs while viewing them. You can report issues here!
Proof of Concept | Description |
---|---|
OilyRAGs | AI Mechanic Assistants |
Job Tools | AI Job Tools |
Conjure
An agentic generative AI retrieval augmented generation (RAG) platform that creates exportable PDFs for application project development from start to finish using an initial idea prompt. AI agents use a linear workflow that builds on previous steps to generate documentation for a project brief, flowchart, user stories, journey map, user research questions, wireframe and a prototype in python.
Skills: Anthropic Claude 3.5 Sonnet, Arize Phoenix,LlamaIndex, Mermaid, Next.js, NextAuth.js, OpenAI GPT-4, Pinecone, Python, Streamlit, Stripe, TypeScript
Generative AI RAG Gaming Platform
An agentic generative AI retrieval augmented generation (RAG) platform that creates role playing games based on the RAG data. AI agents use an asynchronous workflow to generate images, plot, storyline with a problem/solution set for the architecture of the RPG. It can be used for gamification of learning rubrics or just for fun.
Skills: Arize Phoenix, Anthropic Claude 3.5 Sonnet, LlamaIndex, Next.js, NextAuth.js, OpenAI GPT-4, Pinecone, Python, Streamlit, Stripe, TypeScript
Job Tools
Use AI generated resume insights and a job description specific cover letter to get your next job.
Skills: JavaScript, OpenAI GPT-4, React
Literal
Designed for US asylum applicants, this generative AI retrieval augmented generation (RAG) platform uses a natural language chatbot to provide a Q&A for interviews as well as a quiz based on the user provided affidavits. AI agents use a workflow to generate questions, an evaluation rubric, and a report with a score as well as a table of all the questions, answers, score, evaluation and explanation as to what was wrong or write about the answer.
Skills: Bert, Llama 3.2, LlamaIndex, Pandas, Pinecone, Python, Streamlit, Together AI
AI Natural Language Chatbot with Email Tooling
An agent handles responses from the natural language chatbot and triggers the function to send emails.
Skills: Mailgun, OpenAI GPT-4, Python, Streamlit | Requires API Keys
Generate Journey Map from a User Interview Transcript
Automates the process of creating a journey map in FigJam from a transcript in a natural language chatbot interface.
Skills: AgentOps, Figma API, Groq, MutliOn, OpenAI GPT-4, Python, Streamlit | Requires API Keys
Hugging Face Text to Image Chatbot
Zero-shot generative AI text to image chatbot using various open source leading generation models on Hugging Face.
Skills: FLUX.1 ([schnell], [dev]), Hugging Face, OpenJourney, Python, Stable Diffusion( 2.1, XL, 1.5), Streamlit
Multithread Chatbot with AI Assistant
It’s a multithreaded app that allows multiple users to interact using natural language chatbot with a triggerable AI assistant capable of iteration.
Skills: OpenAI GPT-3.5, Python,Streamlit
Visualized Data Analysis Chatbot
Talk with your data using this natural language chatbot which provides data analysis and displays a chart of the data.
Skills: CSV, LangChain, OpenAI GPT-4, Plotly, Python, Streamlit
A/B Testing Analysis Proof of Concept Case Study
A case study exploring an A/B testing proof of concept for campaign analysis.
Skills: HEX, Hugging Face, Matplotlib, Numpy, Pandas, Python, Scipy, Seaborn
NLP Sentiment Analysis Proof of Concept Case Study
A case study exploring natural language processing proof of concept for user research.
Skills: BERT, HEX, Hugging Face, Matplotlib, Numpy, Pandas, Python, Sklearn
Video Frame Analysis
App that uses natural language to describe what is in the video with OpenAI GPT-4o.
Skills: OpenAI GPT-4o, Python, Streamlit
Asset Chart with Commenting
Share your thoughts on this historic price data for comparison of assets.
Skills: Altair, Click, Vega Datasets, Google API Python Client, Google Auth, Protobuf, Python, Streamlit
Pixel Art Converter
Convert jpg/png files to a pixelated version.
Skills: Matplotlib, Python, Streamlit
Image-to-Audio Story Generator
It uses natural language to generate audio stories from images.
Skills: Hugging Face Transformers, OpenAI GPT2, Python, PyTorch, Streamlit
Please open an issue with questions, bugs, or suggestions.
You can follow me on: GitHub, LinkedIn, & Streamlit
Python 3.7 or higher.