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Trafexofive/README.md
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Self Hosted FOSS Bare Metal Production Ready C C++ Python Bash Arch Linux Docker PostgreSQL Redis Nginx Neovim Git Systemd

👋 Aka L'bro

Production systems from scratch. Self-hosted on my own bare metal.

I build low-level, self-hosted infrastructure (mostly coded from scratch) that actually works—mail servers, CI/CD pipelines, specialized stacks, bespoke experimental protocols, LLM integration and agentic architectures. Everything runs on iron I control. No cloud providers. No vendor lock-in. Just FOSS, features, optimization, and competence.

Vim Motions. Arch Linux. C/C++/Python/Bash. Language agnostic. FOSS maximalist.


🔧 What I Ship

I don't build MVPs or demos. I build production-grade systems because that's the only way to learn what actually matters. Everything I ship is:

  • Battle-tested - Running real workloads for me and the crew
  • Self-hosted - Complete data sovereignty, zero external dependencies where possible
  • Built from scratch - Understanding every layer of the stack
  • Optimized - Performance and efficiency aren't optional

Technical Focus

Low-level systems programming • Direct hardware interaction, performance tuning/benchmarking, performant C++ microservices
Self-hosted infrastructure • Mail, Git, media, self-hosted FOSS services and webUIs, CI/CD, databases, monitoring—all on my iron
Automation pipelines • Zero-touch deployments—just clone and make up. BRUTAL.
Wheel reinvention • Sometimes the existing wheel sucks and you need a better one. But in 99% of cases, it's not. Yet the best way to learn is to build it yourself.


🛠️ Stack

Languages: My heart belongs to C • C++ • Python • Lua • Bash • But whatever solves the problem best
Environment: Arch Linux • Bare metal servers • Self-hosted everything • Docker • Systemd • Nix (occasionally) • Nvim
Philosophy: Minimize dependencies, maximize control, ship production-ready or don't ship (even though the code might be sh*t)

Self-Hosted Infrastructure

Currently running:

  • Email infrastructure - Full mail server stack with spam filtering, encryption
  • Bespoke Git server - Self-hosted repos, no GitHub dependency for critical code
  • CI/CD - Automated build, test, deploy pipelines
  • Proxy server stack - NPM (nginx Proxy Manager), ddclient (REST dynamic DNS client), AdGuard Home (network-wide ad blocking), and Glance (neat configurable dashboard using YAML manifests)
  • Databases - PostgreSQL, Redis, SQLite, Neo4j depending on use case
  • Web services - Custom HTTP servers, reverse proxies, all the usual suspects
  • DeepSearch stack - Self-hosted DeepSearch microservice stack for agentic deep search with LLM vector storage and retrieval, multiple browser engines, caching
  • Media && Music stack - [Your media services here]
  • Automation and AI - n8n instance with Postgres and Redis integrated with OpenWebUI. Crawlers, scrapers, data pipelines, you name it.

Wish I could run more services but iron is finite.

All managed as code. All version controlled. All understood at the system level.


🎯 Current Work

Active Projects

[ I'll fill this empty for now ]

Research Interests

  • Systems architecture and emergent complexity
  • AI agent orchestration, autonomy and their emerging architectures
  • LLM safety and alignment
  • A bit of general purpose security as of late (mainly in code and hardware infras), as well as OSINT
  • Trading, quantitative analysis and algorithmic strategies (mostly experimental and hobbyist for now)
  • Of course, no quant or data science work is complete without mastering a bunch of Python libraries like pandas, numpy, matplotlib, seaborn, scikit-learn, tensorflow, keras, pytorch etc. Obviously not an easy feat. For that reason I'm starting to use a self-hosted instance of Marimo (for py notebooks, I highly suggest you check it out) for fast Python prototyping
  • Performance optimization at scale (system design, network stacks, storage systems, optimization techniques and paradigms)

🏗️ Build Philosophy

1. Understand the problem from first principles
2. Build for production, not for demo day
3. Self-host on infrastructure you control
4. Optimize ruthlessly, measure everything
5. Iterate based on real-world usage
6. Share what works with the crew

Core Principles:

  • Dependencies are technical debt
  • Complexity is only justified when it enables emergent capabilities
  • If you don't understand it, you don't control it
  • Production is the only environment that matters
  • Manual processes are inefficiencies waiting to be automated

🎮 Mental Model

Even though I replaced gaming with code, my engineering approach is still fundamentally shaped by these experiences:

Factorio → Systems thinking at scale

  • Every component is part of a larger pipeline
  • Bottlenecks compound exponentially—find them early
  • Automation isn't optional, it's the entire point
  • Throughput optimization is a never-ending game
  • The factory must grow (but efficiently)

Minecraft Expert Tech Modpacks → Embracing necessary complexity

  • No shortcuts—complexity gates progression for a reason
  • Multi-stage processing pipelines teach you about dependencies
  • Sometimes you need 7 intermediate steps to get the output you want
  • Understanding the tech tree is understanding the system
  • Deep integration between systems creates emergent gameplay

Dead Cells → Iteration and adaptation (when I still had time)

  • Fast iteration cycles reveal what actually works
  • Learn from failures, don't repeat them
  • Muscle memory comes from repetition, not theory
  • Optimize the critical path, improvise the rest

Half-Life & Arcade Shooters → Tight systems design

  • Every element serves a purpose
  • Resource management under pressure
  • Quick decisions with incomplete information
  • Systems should feel responsive, not sluggish

I treat infrastructure like a factory floor: optimize throughput, eliminate bottlenecks, automate the boring parts, measure everything, and iterate until bulletproof. Every service is a machine in a larger assembly line. Every failure is a signal. Every optimization unlocks the next stage of scale.


💡 Why I Build

Recreational engineer. Indie hacker. Complexity enjoyer.

I build tools that solve problems I actually have—not problems VCs think I should care about. Everything here is built for:

  • Personal infrastructure - Tools I need daily
  • The crew - Solutions that help my friends and collaborators
  • Learning - Building from scratch teaches what copying or "vibing" never will
  • Ownership - My code, my data, my servers, my rules
  • Recreation - For the love of the game, This is the only thing that truly matters. If you're not having fun, why bother?

I value:

  • Data sovereignty over convenience
  • Understanding over abstraction
  • Control over managed services
  • Production quality over shipping fast (sometimes XD, fine line there)

🤝 Collaboration

Open to working with:

  • Fellow wheel reinventors who aren't afraid of complexity
  • Self-hosters who value data sovereignty
  • Low-level enthusiasts who care about performance
  • FOSS advocates building open systems
  • Anyone shipping real solutions for real problems

If you're building something that requires systems thinking, optimization, and production-ready code—let's talk.


📫 Get in Touch

Feel free to reach out via email: [email protected]

Building on my own infrastructure (always) • Sharing what works (sometimes)

"Dependencies are suggestions. Complexity enables emergence. Production is the only environment that matters."


The Great Work Continues ...

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