8000 devbret (Bret Bernhoft) · GitHub
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devbret/README.md

Personal Introduction

Hello, World! My name is Bret Bernhoft. I am a Full Stack Software Engineer committed to learning about and building tools for making the internet more interesting and secure. I started my journey in technology via WordPress and digital communications, working with analytics, media and community-driven platforms. More recently I have been developing OSINT tools, dashboards for cybersecurity insights and scalable data applications using Python, React, TypeScript and SQL. I am particularly excited about the intersection of intelligence, automation and user experience. As a result I have set out to become a Senior Artificial Intelligence Engineer.

Tech Stack

Below you will find many of the technologies I have experience building software with. My background spans both frontend and backend development, as well as infrastructure and automation in homelab and production environments. I’m continually exploring new tools and frameworks to deepen my skill set and stay aligned with modern development practices.

Primary Languages Frameworks & Libraries Tools & Platforms
JavaScript Python TypeScript HTML5 CSS3 React Flask TailwindCSS D3.js Three.js Next.js Linux Proxmox VS Code GitHub Raspberry Pi Amazon Web Services Kubernetes
Media Production Tools Artificial Intelligence Tools Secondary Languages
GIMP Audacity KDENLive OBS Studio Blender ChatGPT GitHub Copilot Lovable AI Perplexity Cursor ElevenLabs SQL Ruby Google Apps Script Bash PHP

Current Projects

This is what I'm actively working on right now. These projects reflect my ongoing learning and exploration, particularly in artificial intelligence, computer networking and data visualization.

Homelab Documentation

  • Description: Documentation for my self-hosted Kubernetes homelab. It includes a locally deployed Mistral-7B model for AI inference, alongside core services like Pi-hole, TrueNAS and OPNsense. The goal is to support hands-on DevOps, networking and infrastructure projects in a fully controlled environment.
  • Focus Areas And Technologies:
    • Containerization And Orchestration: Docker, Kubernetes (kubeadm), Helm
    • AI/ML Inference: Running Mistral-7B locally via Ollama and RAG pipelines
    • Networking And DNS: OPNsense firewall, Pi-hole DNS filtering, Conditional Forwarding
    • Storage And Backups: TrueNAS Core, ZFS, rsync-based backup automation
    • Monitoring And Observability: Prometheus, Grafana
    • Security And Access: SSH, local-only services, VLAN experimentation
    • Self-Hosted Services: Lightweight apps for performance testing, self-documentation
    • Linux System Administration: Ubuntu Server, Linux Mint, shell scripting
    • Homelab Philosophy: Building a reproducible, offline-friendly development and learning environment
  • Current Status: I am currently refining the Kubernetes cluster setup, focusing on stable deployment of Ollama with Mistral-7B for local AI inference. Recent breakthroughs include successful RAM upgrades on both nodes to support model performance and orchestration, along with resolving compatibility issues by downgrading from Ubuntu 24 to 22. Ongoing efforts involve improving observability with Prometheus and Grafana, tuning network settings in OPNsense and documenting infrastructure components for reproducibility and knowledge sharing.
  • Repository: Link
  • Seeking To Learn/Improve: I'm using this project to deepen my practical understanding of Kubernetes orchestration, self-hosted AI deployment and secure network architecture. I’m also aiming to improve my skills in infrastructure automation, monitoring and troubleshooting within resource-constrained environments. Long-term, I want to build fluency in DevOps workflows, IaC tools like Ansible and the principles of high-availability system design.

Conclusion

Thank you for visiting my GitHub profile. This space reflects my ongoing journey as a full stack software engineer and homelab enthusiast, where I explore self-hosted infrastructure, DevOps practices and AI-powered tools. I’m always experimenting, documenting and looking to connect with others who are passionate about building resilient systems and pushing the boundaries of what’s possible with open-source technologies. Feel free to explore my projects, offer feedback or reach out if you'd like to collaborate.

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  1. website-internal-links website-internal-links Public

    Explore a website's internal links, then visualize those connections as a network graph with scorecards and analysis using Claude AI.

    JavaScript 83 7

  2. website-external-links website-external-links Public

    Use Python to map a website's external facing links. And then apply D3 to visualize those outbound connections as a network graph.

    JavaScript 16 2

  3. pihole-data-measurement-tools pihole-data-measurement-tools Public

    A collection of various software tools for measuring DNS queries downloaded from a Pi-hole as a CSV file.

    JavaScript 6

  4. browser-automation-experiments browser-automation-experiments Public

    Scripts designed to test, analyze and interact with websites automatically, thus helping improve performance, accessibility and reliability.

    TypeScript 1

  5. audio-comparison-app audio-comparison-app Public

    Upload two audio files to compare them using Librosa.

    TypeScript

  6. homelab homelab Public

    Documentation for a self-hosted Kubernetes homelab running Mistral-7B for local AI, with Pi-hole, TrueNAS and OPNsense for DevOps, networking and infrastructure projects.

    Shell

0