Book Jersey Shore
A peer-to-peer Jersey Shore rental platform I built from the ground up, combining public listings, direct booking, rental agreements, e-signing, and the practical details of running a real product.
Paul Boehringer
Software engineer and builder focused on complex systems that need to work in the real world.
About
I’m a software engineer and data scientist who likes building complex systems from the ground up and figuring out how to make all the pieces work together. My background spans machine learning, software development, finance, quantitative trading, and manufacturing.
These days, I’m building Book Jersey Shore from the ground up: a platform for Jersey Shore vacation rentals, direct booking, rental agreements, e-signing, and the practical details of running a real product. It brings together my interests in building useful software and making complex systems work in the real world.
Alongside that, I’m exploring AI-assisted development, 3D printing, mechanical design, and robotics. I’m especially excited about what AI could make possible for small-scale manufacturing, from designing and prototyping parts to helping small teams bring useful products to life.
I’ve also been spending more time learning about cryptography and blockchain architecture. I’m especially interested in Chainlink because oracles give blockchains a way to use real-world information without handing one part of a system total authority. Multiple independent sources and operators can create a new layer of checks and balances, with possible applications in insurance, trading systems like GMX, and event markets such as Polymarket and Kalshi.
Outside of that, I’m into woodworking and kiteboarding. I tend to learn by taking on a project, getting into the details, and following the questions it opens up.
Current interests
Practical AI and software. I’m interested in using AI to help build useful applications, work through unfamiliar problems, and make everyday tasks easier. Much of my recent work has been taking projects from an idea through development, testing, and the details of running them.
Making things that move and work. I’ve been getting further into 3D printing, computer-aided design, and robotics: designing parts, trying different mechanisms, and refining a design through prototypes. I like the feedback that comes from making something physical and seeing how it behaves.
Tools I can understand and maintain. I’m also interested in self-hosted software, automation, and better ways to organize information. That includes the unglamorous work of keeping systems reliable, preserving useful records, and making things easy to find when they’re needed.
Selected projects
A few things I’ve built, researched, or taken apart to understand.
Two-speed swerve drivetrain
A prototype drive platform for FIRST Robotics, with four wheels that can each be driven and steered independently. A hands-on project in turning a mechanical design into a working machine.
Deep learning for price prediction
A model that combines financial data measured over different time intervals to study price prediction. The work used parallel recurrent neural networks to look for patterns across those timescales.
Financial networks and cascading failures
An analysis of how financial obligations connect institutions, and how the shape of those connections affects the spread of failures through a network.
What can insider transactions tell us about stock returns?
My thesis investigated whether adding corporate insiders’ reported stock purchases and sales improved machine-learning predictions of U.S. stock returns.