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Solving meaningful problems with applied and computational mathematics, ministering through the violin, and building the future on principles, patterns, and eternal purpose.
Building scalable systems
with iterative problem solving.
I use computational and applied mathematics to solve complex problems in finance, orthopedic technology, and cybersecurity. I reverse engineer and program computers with a strong focus on clear and clean architecture, useful abstractions, and solutions that stand the test of time. I believe applied and computational mathematics plays a vital role in advancing technologies, industries, and societies by delivering robust, high-impact solutions. I primarily work in Rust, Python, C, C++, and TypeScript, with professional experience in, Java, JavaScript, Solidity, Assembly, and Go.
Deployed Systems
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Pillars
The Vision
To serve my mandate in revelation, purpose, love, faith, and wisdom, changing the world through stewardship of unique gifts and unwavering faith. Living by what is true, I stand at the frontline pioneering wonderful things, available and committed for every good work that advances hope.
WHAT I DO
APPLIED MATH & CS
I use linear algebra, graph theory, multivariable calculus, and optimization to model neural network weights, reduce algorithmic complexity, and design cryptographic systems. The goal is always the same: turn abstract math into software that is fast, stable, and useful.
ORTHOPEDIC TECHNOLOGY
This work sits between medicine and engineering. I model joint kinematics with transformation matrices and quaternions, run finite element stress analysis on implants, and build computational geometry pipelines for custom orthotics, prosthetics, and surgical navigation.
QUANTITATIVE FINANCE
Financial systems need models that respect uncertainty. I work with stochastic differential equations, Brownian dynamics, and Monte Carlo engines to estimate asset diffusion, price risk, and test quantitative strategies under realistic market conditions.
CYBERSECURITY
Security starts with math. I apply number theory, modular arithmetic, and elliptic curve algebra to build encryption protocols, analyze attack surfaces, and design network architectures with stronger guarantees around trust and verification.
I use linear algebra, graph theory, multivariable calculus, and optimization to model neural network weights, reduce algorithmic complexity, and design cryptographic systems. The goal is always the same: turn abstract math into software that is fast, stable, and useful.
Contact
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