Hello, World! My name is Bret Bernhoft. I am a Full Stack Software Engineer specializing in low-code development, with a strong focus on building secure, scalable applications using Quickbase and cloud-integrated automation platforms. My background spans from WordPress deployments to enterprise-grade business systems, giving me a unique perspective on how people interact with technology at scale.
Since 2021, I have led the development of production-grade Quickbase applications, engineered API integrations across services like AWS, Trello and Zapier, and delivered automation workflows that cut operational overhead. My work consistently emphasizes collaboration, user-centric interfaces and real-time reporting to empower all users.
I focus on blending application development, business process automation and platform interoperability. My current toolbox includes Quickbase (Pipelines, Webhooks, APIs, Dashboards), JavaScript, React, Python, SQL and platforms such as Zapier. I also maintain a private homelab where I prototype integrations with self-hosted LLMs and AI-driven tooling for workflow intelligence.
My ongoing goal is to design systems that simplify complexity, reduce manual effort and expand access to reliable, high-performing technology.
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 |
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| Media Production Tools | Artificial Intelligence Tools | Secondary Languages |
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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.
- Description: Documentation for my self-hosted homelab. It includes a locally deployed Mistral-8x7B model for AI inference, alongside core services like Pi-hole, TrueNAS, Proxmox 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-8x7B locally via Ollama and RAG pipelines
- Networking And DNS: OPNsense firewall, Pi-hole DNS filtering
- 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: My current focus is developing software and automations using a locally deployed Mistral 8x7B artificial intelligence model, Ollama, n8n and custom Python scripting. Recent breakthroughs include installing proper air cooling and upgrading RAM for all desktop computers within my homelab. Ongoing efforts involve improving observability with Prometheus and Grafana, tuning rules and settings in OPNsense and TrueNAS, 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 self-hosted AI deployment and secure computer network architecture. I’m also aiming to improve my skills in infrastructure automation, monitoring and troubleshooting. Long-term, I want to build fluency in AI development, DevOps workflows, IaC tools like Ansible and the principles of high-availability system design.
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.