Welcome to my GitHub! I’m Michael Gene Brockus, also known as Dreamer — a systems-focused developer with both blue-collar grit and white-collar precision.
I’ve worked in production, logistics, and technology, and I bring that same discipline and adaptability into everything I build.
I’m the creator of Fossil Logic, an open-source initiative dedicated to secure, auditable, and explainable software, and Fossil Learning, an educational project for developers who want to understand systems from the metal up.
- 🔗 Fossil Logic: fossillogic.com
- 📘 Fossil Learning: Part of the Fossil Logic ecosystem
- ✍️ Personal Blog: michaelbrockus.com
I build transparent and trustworthy software systems using C, C++, Python, and CrabQL — always with a focus on traceability, security, and clarity.
From AI frameworks and lightweight databases to low-level runtime systems, my work is driven by the belief that software should be understandable, verifiable, and durable.
My experience ranges from hands-on industrial work — operating machinery, packing, and logistics — to system architecture and embedded software engineering.
That background gives me a rare perspective: I value both practical efficiency and technical integrity, and I build tools that reflect both worlds.
Fossil Logic is my personal open-source software initiative focused on low-level systems, AI explainability, secure infrastructure, and auditable software design.
I build intelligent technologies in C, C++, and Python with an emphasis on traceability, minimal dependencies, and self-contained logic.
The mission is simple: to create software that is efficient, reliable, and transparent — helping developers and organizations trust the systems they depend on.
At the core of Fossil Logic is the idea that software should balance performance with accountability.
Whether developing a lightweight database, secure runtime, or interpretable AI, I prioritize clarity over complexity and robustness over shortcuts.
Fossil Logic represents my ongoing effort to build a future where technology remains lean, secure, and explainable — empowering developers to build with confidence and users to interact with trust.
To complement my development work, I created Fossil Learning — an educational initiative offering open-source tutorials, labs, and guides focused on low-level programming, AI explainability, and secure software design.
Through practical examples and transparent explanations, Fossil Learning helps developers understand systems deeply, code responsibly, and adopt best practices for building auditable, reliable, and trustworthy software.
- Languages: C, C++, Python, SQL, CrabQL
- Systems: Linux, Embedded Development, Secure Infrastructure
- AI & Data: Truthful AI, Auditable ML, Git-like Data Chain Integrity
- Tools: Git, CLI Development, Cross-Platform Frameworks
- Industry Experience: Logistics, Manufacturing, Machine Operation
- Core Strengths: Reliability, Adaptability, Systems Thinking
I believe good software — like good work — should be built to last, understandable by design, and accountable in practice.
Whether I’m writing embedded code, tuning a production line, or designing an AI framework, I approach each task with the same principles:
clarity, traceability, and purpose.
🌐 Website: https://fossillogic.com
✍️ Blog: https://michaelbrockus.com
📧 Email: [email protected]