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blondres04/README.md

Bryan Londres

Computer Science Senior at Florida International University (May 2026) CompTIA Security+ | AWS re:Invent All Builders Welcome Grant Awardee

I build systems across the full abstraction stack, from GPU-level C++20 and OpenGL shader programming to distributed enterprise architectures with Spring Boot, Kafka, and Docker. My current work sits at the intersection of cybersecurity and AI, where I'm building open-source tooling to empirically verify LLM-generated security vulnerabilities.

I also mentor CS students at FIU through the Panther2Panther program, breaking down low-level concepts like C++ memory management, multithreading, and systems design.


Flagship Projects

Shield Claw — Autonomous DevSecOps Verification Agent

An open-source, five-service pipeline that uses a local LLM to generate exploit hypotheses from code changes, then autonomously detonates them in ephemeral Docker sandboxes and only reports empirically verified vulnerabilities. Built with Python, Java 21/Spring Boot, React, Apache Kafka, PostgreSQL, and Docker Compose. Currently in active development, building dynamic application-layer sandboxing and a ground-truth validation suite.

In Silico Neural Dynamics Simulator — GPU-Accelerated Computational Neuroscience Engine

A 1,000-node neural network simulation built from scratch in C++20 and OpenGL. Implements Leaky Integrate-and-Fire physics with Euler integration, procedural graph topology via rejection sampling, O(N²) Euclidean synaptic wiring, and custom GLSL fragment shaders for organic membrane rendering. Designed as an in silico prototyping sandbox for computational neuroscience research.


Technical Range

Systems and Low-Level: C++20, C, OpenGL/GLSL, GPU pipeline engineering, manual memory management, CMake

Enterprise and Full-Stack: Java 21, Spring Boot, C#/.NET, React, TypeScript, PostgreSQL, Apache Kafka, REST APIs

DevOps and Cloud: Docker, Kubernetes, Terraform, AWS, Azure, GitHub Actions, Jenkins, Linux

Security and AI: CompTIA Security+, JWT/Spring Security, LLM integration (Ollama), Pydantic, PyTest

Languages: Python, Java, C++, C#, TypeScript, Go, SQL, Bash


Currently

  • Building Shield Claw's dynamic Docker-Compose-aware sandbox for application-layer exploit verification
  • Implementing inhibitory (GABAergic) neuron types in the neural simulator to stabilize network dynamics
  • Mentoring 6 CS students per semester on C++ memory management, OOD, and Linux systems

US Citizen · English (Native) · Spanish (Native) · bryanlondres5@gmail.com · LinkedIn

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  1. InSilico-Neural-Dynamics InSilico-Neural-Dynamics Public

    A GPU-accelerated Leaky Integrate-and-Fire (LIF) network simulator built in C++20 and OpenGL. Designed as an in silico sandbox for visualizing computational neuroscience dynamics.

    C++ 2

  2. shieldclaw shieldclaw Public

    An open-source DevSecOps pipeline that generates exploits from Pull Requests using a local LLM, detonates them in ephemeral Docker sandboxes, and only reports empirically verified vulnerabilities.

    Python 2