# Addison Kline

> Personal website of Addison Kline, a software engineer working on AI infrastructure, predictive models, and developer tools.

I wrote my first lines of code at the age of 11, and most of my initial programming education was in Java.

In high school, I decided to build a website from scratch to host my baseball blog, [Baseball Analytica](https://baseball-analytica.com). Since its inception, the site has gone from a barebones blog to a multi-writer sabermetrics platform, hosting various prediction models, custom leaderboards, odds calculators, and more.

In 2024, I was the first software engineer hired by [Charon Labs](https://charon-labs.com), an AI research laboratory based in New York building scalable multi-agent intelligent systems. My work at Charon includes web research agents, code execution environments for LLMs, intelligent model routers, LLM proxy servers, and more. I also created the [Multi-Agent Interface Layer](https://github.com/charonlabs/mail), an open protocol for agents to communicate with each other, both locally and across the internet, enabling networked multi-agent task collaboration.

I am most familiar with Python, where my tech stack includes FastAPI, LiteLLM, LangChain, NumPy, Pandas, and more. I have also dabbled in Rust, C++, Go, and JavaScript (Vue is my favorite framework).

If you wish to get in touch with me, use [this link](https://addisonkline.net/contact).

## FAQ

### Where are you based?

New York City, approximately.

### When will your next Baseball Analytica post come out?

Friday, though not necessarily *this* Friday.

### Who are your favorite jazz musicians?

Individuals: Paul Hardcastle, Tom Braxton, Jeff Kashiwa. Bands: Down to the Bone, Four80East.

## Projects

- [MDRFC](https://github.com/addisonkline/mdrfc): A server, web app, and CLI client for Markdown-formatted RFCs--either public or internal. _(RFCs, Web, Python, TypeScript)_
- [Baseball Analytica](https://baseball-analytica.com): A website I created to host my baseball blog, prediction models, and other sabermetrics-focused content. _(Sabermetrics, Baseball, Blog, Web)_
- [Multi-Agent Interface Layer](https://github.com/charonlabs/mail): An open protocol for agents and humans alike to communicate using simple, email-like syntax. _(AI Agents, Protocol, LLMs, Open Source)_
- [2024 Election Predictions](https://analyticadataworks.com/election-predictions): Built a statistical model to predict the 2024 U.S. presidential election results, both nationally and in every battleground state. _(Statistics, Forecasting, Python, Politics)_
- [PitchPredict](https://github.com/baseball-analytica/pitchpredict): A 20M-parameter LSTM (and Python library) for predicting the outcome of an MLB pitch given a context. _(Machine Learning, LSTM, Python, Baseball)_
- [Triangulum](https://github.com/addisonkline/triangulum): An algorithm for estimating the climate normals of a given location based on nearby station data. _(Algorithms, Climate, Geospatial, Python)_
- [Argentum](https://github.com/addisonkline/argentum_rs): A Rust CLI for calculating hand odds in Texas Hold'em. _(Rust, CLI, Poker, Algorithms)_

## Blog

- [Hello, World! (again)](https://addisonkline.net/blog/hello-world.md) (2025-11-07): I've finally rebuilt my personal website--and this time, with a blog.