Using Deep Learning to Count Syllables
I enjoy writing haiku poems and I also enjoy deep learning. So I thought, what about building a deep learning model to predict the number of syllables in a w...
Posts by Year
2026
Using an LLM and Embeddings to Study Collective Cultures
The United States is a decidedly individualistic culture. This is a cultural trait common in Western nations like Canada, the UK, and Australia. In an indivi...
Building an MCP Server with fastmcp and Open WebUI
This article explains how I set up a tiny MCP (model context protocol) server using fastmcp and exposed it to Open WebUI using Gemma 4, an open source LLM fr...
Mapping the Chesapeake Bay
The Chesapeake Bay is the largest estuary in the United States. It is a massive body of water hundreds of miles long and home to a large variety of fish, bir...
Visualizing US Biomass
I am fascinated by trees, forests, and woods. The United States is home to a vast array of forests, deserts, and plains. While the eastern US is dominated by...
Estimating Downtown Tree Canopy
Today I am working on using satellite imagery to determine the level of tree canopy coverage in four major east coast downtowns. In particular, I am comparin...
Building a Stock Market Agent
I wanted to see if I could build a stock market agent leveraging open source models, ollama, Python, and real stock market data. The agent should accept a pe...
2025
Building an AI Data Center at Home
Home labs are essentially computers which serve applications for personal use. This can include hosting servers for video games, running AI models, serving a...
Visualizing US Trade
Many major publishing outlets have recently created their own visuals to explain U.S. trade. One particular visualization in the Wall Street Journal caught m...
2024
Random Number Generation
Random number generators are at the core of many applied computer science applications. For example, stochastic simulation models, statistical sampling, and ...
2023
Stay or Switch, A Frequentist Approach to Monty Hall
The Monty Hall is a famous brain teaser in the form of a probability puzzle. For the uninitiated, the problem is as follows: Consider three doors where two o...
2022
Hertzsprung–Russell Diagram in D3.js
A Hertzsprung–Russell diagram (HR diagram) is a visualization of star data which shows the relationship between magnitude and spectral characteristics. The d...
Implementing KNN In Python
K-nearest neighbors (KNN) is an algorithm which identifies the k nearest data points in a training sample to a new observation. Typically, nearest is defined...