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

Check This Out

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

AI Agents That Work While You Sleep

I just hired my first AI employee- an analyst agent that creates detailed company profiles, competitive analysis reports, market placement predictions, SWOT analyses, and more. It works autonomously for extended periods, taking upwards of an hour to perform hundreds of searches, refinements, and actions to produce comprehensive reports. How was I able to do this? Through Deep Agent frameworks, a new technique of building language model based agentic systems that focuses on enabling LLMs to operate more persistently and reliably on complex tasks. This elevates traditional tool calling agents, allowing them to tackle enterprise-level projects that would typically require days of sustained human effort.

What I'm Up To Now

Transforming Marketing Technology and Teaching the World About AI

AI Specialist

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 15 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

Blog

Internal monologue

Reinforcement Learning with Verifiable Rewards for LLMs

Nov 03, 2025

Understanding RLVR and creating RL environments for large language models.

AI In Digital Worlds - Computer Use

Aug 15, 2025

I think language models, as simulators of human behavior, should be given the same tools as humans to interact with the digital world we share.

Projects

My recent creations

Evaluizer

Evaluizer is an interface for evaluating and optimizing LLM prompts. It allows you to visualize outputs against datasets, manually annotate results, and run automated evaluations using both LLM judges and deterministic functions. It features GEPA (Genetic-Pareto), an optimization engine that iteratively evolves your prompts to maximize evaluation scores through reflective feedback loops.

DCA

Deep Competitive Analyst is a 'deep agent' style LLM assistant built to automate the creation of company profiles and competitive analyses. Built on top of LangGraph Platform and Perplexity Search, DCA can perform thorough research autonomously to create detailed business reports in a fraction of the time of a human. It operates for extended periods, dynamically spawning sub-agents to parallelize research tasks and creates the kind of in-depth competitive analysis that usually costs thousands.

rewrAIt

Are you prompting the model or is the model prompting you? rewrAIt offers a unique 'text-editor' style interface for turn-based conversations with large language models that lets you revise any part of an LLM conversation- system, user, or AI messages, at any point in time. Add, modify, and remove context or change providers to your liking. Control the narrative with AI before it controls you.

seb-ocr

seb-ocr is a custom built OCR and entity extraction pipeline for processing unstructured historical documents- part of a larger academic research project in the field of political science. Relying on LLMs to transcribe large volumes of scanned documents from official archives, then performing named entity recognition and extraction for downstream analysis.

QuicKB

QuicKB is an end-to-end machine learning pipeline that turns unstructured text into optimized, semantic knowledge bases with complimentary finetuned embedding models ready for RAG/AI retrieval. It combines the latest chunking approaches, synthetic training data generation, and dimension-reduced embedding model finetuning to create personalized domain-specific retrieval systems that are both more accurate and more efficient than generic methods.

NeedleInAVidStack

NeedleInAVidStack is a lightweight streamlit app that rapidly identifies, timestamps, and extracts specific content across large video and audio libraries. Rather than the tedious process of manually scrubbing through video and audio files yourself, NeedleInAVidStack uses Google's Gemini AI models to automatically and efficiently parse out exactly what you're looking for in a fraction of the time.

ppt2desc

ppt2desc converts PowerPoint presentations into comprehensive machine-readable text formats using vision language models. It captures the full semantic meaning of slides by interpreting how text, graphics, and charts relate to each other- a crucial part of presentations that traditional scraping tools miss. Compatible with major AI platforms including OpenAI, Gemini, Anthropic, GCP Vertex AI, AWS Bedrock, and Azure AI Foundry.

More Content

Some of my other videos

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