_ _ __ _ / \ __| | __ _ _ __ ___ | // _ _ ___ ___| | __ / _ \ / _` |/ _` | '_ ` _ \ |//| | | | |/ __/ _ \ |/ / / ___ \ (_| | (_| | | | | | | // |_| |_| | (_| __/ < /_/ \_\__,_|\__,_|_| |_| |_| |_____\__,_|\___\___|_|\_\

Check This Out

The Latest Thing I've Put Together Hand Picked Just For You :)

Building Brain Like Memory for AI

AI Agents have one major flaw: they lack the ability to fully understand all the context that goes into completing a project or task. LLMs are considered "stateless," meaning that every time you invoke an LLM call, it's like the first time it's ever seen the input being passed through. This creates a unique challenge for LLM agents in understanding and navigating the vast world that we humans naturally comprehend. To explore this further, I created an LLM RAG Agent that uses four forms of memory: Working, Episodic, Semantic, and Procedural.

What I'm Up To Now

Managing Marketing Technology and Teaching the World About AI

MarTech Portfolio & Innovation

2023 - Present

Cisco

Part of the MarTech Portfolio & Innovation Team managing and integrating innovative marketing technology into our tech stack. Technical SME for GenAI solutions, hands-on development and internal consulting for platform-driven and internally-built AI software.

Director of Sales

2020 - 2022

The DTH Media Corp.

Led and trained an advertising sales team of 12 reps. Designed and implemented the commission model, training program, and various new advertising products. Worked with local and national clients as the end-to-end sales and fulfillment rep. Top performing rep for a year and a half straight. Reported to a board of directors.

UNC Chapel Hill

2023

Degree in Economics, Statistics & Information Systems

Some of my other videos

Scaling Test Time Compute: How o3-Style Reasoning Works

Reasoning models are the new wave, but how do they work? Let's break down the latest in scaling test time compute to teach LLMs how to reason through long chains of thought, along with OS implementations.

Knowledge Graph or Vector Database… Which is Better?

Combine RAG with knowledge graphs for richer insights. Use LLMs to extract entities and relationships, enabling structured reasoning and deeper context.

How I Made A Deep Learning Robot

Can GenAI interact with the real world? Absolutely! I trained a robotic arm using an action chunking transformer, enabling it to autonomously replicate and generalize tasks from teleoperated demonstrations.

AI Just Mastered 3D Design… What’s next?

Discover how AI transforms text prompts into 3D models! From diffusion models to NeRFs, explore cutting-edge tech merging deep learning with 3D graphics.

The BEST Way to Chunk Text for RAG

Optimize RAG systems with smarter text chunking. Explore strategies from basic splits to LLM-assisted chunking for better context and performance.

Create AI Images of YOU with FLUX Training

Open-source AI image generation now rivals enterprise solutions, offering flexibility and customizability. Learn how I trained FLUX.1 to create personalized images.

Wait... What REALLY Is A Vector Database?

Learn how vector databases store embeddings to capture meaning, enable semantic search, and power dynamic RAG systems for accurate LLM responses.

How AI Creates Images/Videos/Audio

Explore how AI generates images, videos, and audio with diffusion models! Learn the process and see Stable Diffusion, img2vid, and audio models in action creating a full AI-generated clip.

Make An AI Agent with OpenAI’s Advanced Voice Mode

I tested OpenAI's Advanced Voice Mode to build low-latency voice assistants, integrating RAG to retrieve relevant context while maintaining natural, real-time spoken interactions.