charlie.cullen ↗

Charlie
Cullen

Founder & software engineer.
AI systems. Security. Commercial software.

I’m building SellCode.ai, a new home for code licensing. My work spans AI security, data infrastructure, and robotics simulation. Based in San Francisco.

Visit SellCode.ai Explore my work
Axiom evolution field journal with a simulated body and generation timeline
AxiomEmbodied evolution
Code licensingAI & data systemsSecurity engineeringSimulation & robotics
01

SellCode.ai

Founder · September 2026–Present

CURRENT VENTURE

A new home for code licensing.

I founded SellCode.ai to explore new ways for developers to monetize their code. The coming-soon site is live, with a waitlist for launch updates.

Explore SellCode.ai
02

Selected highlights

Applied AI, security, and research systems.

OPEN AVENUES · IN PROGRESS

AI security agents

Developing AI-assisted source-code scanning and vulnerability detection, with structured pipelines for organizing potential security findings.

  • Python
  • PyTorch
  • DuckDB
  • FastAPI
  • Retrieval pipelines

ENERGY RESEARCH & INTELLIGENCE

Orbit

An energy research assistant for querying and analyzing large structured energy datasets, with DuckDB and FastAPI infrastructure and deterministic validation.

  • DuckDB
  • FastAPI
  • Data infrastructure

SECURITY ANALYSIS WORKBENCH

Myth

Tooling for examining complex security relationships and potential attack paths through structured investigation, visualization, and automated analysis.

  • Security investigation
  • Visualization
  • Automated analysis
03

Axiom

Robotics evolution simulator

Evolving bodies. Exploring possibilities.

Axiom explores how robot body plans and neural controllers evolve together. Its Rust simulation keeps a diverse archive of candidates, making movement, fitness, and search history visible rather than reducing every experiment to a single winner.

  • Rust
  • Python
  • Bevy
  • Rapier3D
  • MAP-Elites
  • Neural controllers

Body and behavior

Morphology genomes and neural controllers connect the shape of a simulated body with the way it moves.

Diversity in search

A MAP-Elites archive retains different high-performing candidates across terrain tasks.

Inspectable experiments

Seeded runs, checkpoints, and replay interfaces make it possible to revisit an experiment and compare outcomes.

Axiom's evolution field journal showing a simulated creature, fitness history, and search lineage
Axiom’s evolution field journal: a captured simulation interface.
04

What I work on

From research and prototyping to tested, maintainable software.

01

AI systems & data

LLM guardrails, retrieval workflows, NLP post-processing, and structured data pipelines. Python, PyTorch, DuckDB, and FastAPI.

02

Security engineering

Client penetration testing, prioritized remediation, AI governance, and zero-trust architecture. CompTIA Security+ certified.

03

Commercial software

AI-native developer tools and security software, supported by automated CI, tagged releases, and verification pipelines.

04

Simulation & interfaces

Robotics evolution, real-time telemetry, and interfaces that make complex systems understandable. Rust, C++, TypeScript, and React.

My commercial work includes private, licensed software. The highlights here share the problems I work on and the systems I build.

05

Experience & background

Software engineering, applied AI, security, and commercial software.

Experience

  1. Founder

    Sep 2026–Present

    SellCode.ai ↗

    • Founded a software venture focused on new ways to monetize code.

  2. Software Engineer

    Sep 2026–Present

    Independent Software Licensing

    • Develop and license software for AI training, coding evaluation, and software-engineering research.
    • Built a portfolio of 20+ substantial projects across AI, security, infrastructure, simulation, and developer tooling.
    • Generated thousands of dollars in non-exclusive source-code licensing revenue.
    • Maintain reproducible systems with Docker, CI/CD, automated testing, and structured Git history.

  3. Penetration Tester

    Jul–Sep 2026

    CyberTrust America

    • Conducted client penetration tests and delivered prioritized findings with remediation guidance.
    • Tested an AI-governance certification program aligned with NIST AI RMF and NIST CSF.

  4. AI Developer

    Jan–May 2026

    Popaisle

    • Built LLM guardrails for OpenRouter CLI workflows and NLP post-processing.
    • Developed web crawlers to collect, normalize, and deduplicate structured data for client projects.

  5. Computer Science Tutor

    Jan–May 2026

    CCSF Tutor Squad

    • Tutored C++, computer architecture, algorithms, and data structures, with an emphasis on debugging.

  6. AI Developer

    Dec 2025–Jan 2026

    AI Tinkerers

    • Led a four-person team building a commercially licensed energy research assistant.

  7. Software Developer

    Nov 2025–Jan 2026

    CCSF Engineering Club

    • Built VESC-based marine telemetry and reduced latency by more than 30% with WebSockets.

Education

City College of San Francisco

Aug 2025–Present

Computer Science · GPA 4.0

University College Cork

Aug 2023–May 2025

Computer Science

Certifications

CompTIA Security+

2026

DeepLearning.AI

2025

Deep Learning & Machine Learning Specializations; PyTorch for Deep Learning; Mathematics for ML & Data Science.

Applied learning

Open Avenues

Sep–Nov 2026 · In progress

Applying Python, deep learning, and DuckDB to automated code scanning and vulnerability detection.

Technical skills

Languages
Python, Rust, C++, Go, TypeScript, JavaScript, SQL
AI / Data
PyTorch, NumPy, Pandas, RAG, LangGraph, NLP, vector search
Engineering
FastAPI, REST APIs, DuckDB, WebSockets, Docker, React, Tauri, Git/GitHub, CI/CD
Security
Penetration testing, NIST AI RMF, NIST CSF, zero-trust architecture, LLM guardrails