Baron Schwartz is a software engineer with 11 years of experience specializing in databases, performance tuning, and monitoring, blending deep technical expertise with a commitment to social justice in the tech industry. Based in Charlottesville, he contributes to open-source projects—particularly backend work on high-performance game-theory solvers for Texas Hold'em—demonstrating skills in algorithmic optimization and CFR+ implementations. A University of Virginia computer science graduate, he prefers email contact and maintains a public technical presence via xaprb.com and Twitter @xaprb. Beyond production systems, he gravitates toward measurable performance improvements and pragmatic tooling that make complex systems observable and efficient.
11 years of coding experience
Piedmont Virginia Community College
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at University of Virginia
🚀 A very efficient Texas Holdem GTO solver :spades::hearts::clubs::diamonds:
Role in this project:
Back-end Developer
Contributions:3 releases, 8 reviews, 142 commits in 2 years 6 months
Contributions summary:Baron primarily contributed to the back-end logic of a Texas Hold'em GTO solver. Their work involved the implementation of game tree and tree node structures. The commits also show optimization of code and include file modifications. Further, the user added hand management and trainable classes to the project.
A Java implemented Texas holdem and short deck Solver
Role in this project:
Back-end Developer
Contributions:1 release, 94 commits, 8 PRs in 2 years 1 month
Contributions summary:Baron is contributing to the development of a Texas hold'em and short deck solver implemented in Java. Their commits focus on implementing the CFR+ algorithm, a key component for the solver's functionality, which involves writing code for different components like the CfrPlusRiverSolver, CfrPlusTrainable. They are also working on the user interface.
piosolverholdemdecktexas-holdemtexas-holdem-poker
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