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Alexa Amundson d5c8667284 20 role-specific resumes with verified KPIs — BlackRoad only, no prior experience

RoadChain-SHA2048: 428ab11c02ce78d6
RoadChain-Identity: alexa@sovereign
RoadChain-Full: 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

2026-03-13 00:01:11 -05:00

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Alexa Amundson

Infrastructure Engineer

amundsonalexa@gmail.com | github.com/blackboxprogramming

Summary

Infrastructure engineer building and operating a 7-node distributed compute fleet with 707 GB storage, 20 GB RAM, 52 TOPS AI acceleration, and WireGuard mesh networking. Manages 256 systemd services, 14 Docker containers, and 48+ production domains with automated monitoring and self-healing.

Experience

BlackRoad OS | Founder & Infrastructure Lead | 2024–Present

Physical Infrastructure

Built and maintain 5 Raspberry Pi edge nodes (4× Pi 5 with NVMe, 1× Pi 400)
Installed and configured 2× Hailo-8 AI accelerators (52 TOPS combined)
Managed hardware: NVMe drives, Pironman5 enclosures, OLED displays (I2C), UART adapters
Resolved undervoltage issues via config.txt tuning, power supply assessment, overclock removal

Network Infrastructure

WireGuard mesh VPN (10.8.0.x) connecting all nodes through DigitalOcean hub
RoadNet WiFi mesh: 5 access points on channels 1/6/11, dedicated 10.10.x.0/24 subnets per node
4 Cloudflare tunnels for zero-trust external access to 48+ domains
48 Nginx reverse proxy configurations
DNS infrastructure: Pi-hole (Alice), PowerDNS (Lucidia), custom dnsmasq zones (Cecilia)

Compute Management

256 systemd services and 35 timers across fleet
14 Docker containers via Docker Swarm
27 Ollama models (48.1 GB) across 3 inference nodes
11 PostgreSQL databases, 230 SQLite databases

Automation

212 CLI tools for fleet management
52 automated tasks (17 Mac cron + 35 fleet timers)
Self-healing autonomy on all nodes (heartbeat + heal cycles)
Fleet power optimization: CPU governors, swappiness, dirty_ratio, WiFi PM, GPU memory reduction

Technical Skills

Hardware: Raspberry Pi 5, Hailo-8 NPU, NVMe, I2C, GPIO, USB, PCIe Networking: WireGuard, Tailscale, Nginx, DNS (Pi-hole, PowerDNS, dnsmasq), Cloudflare Tunnels OS: Debian/Raspberry Pi OS, systemd, udev, kernel tuning (cmdline.txt, config.txt, sysctl) Containers: Docker, Docker Swarm Monitoring: Custom KPI system (60+ metrics), thermal monitoring, voltage tracking

Metrics

Metric	Value
Fleet nodes	7
Total storage	707 GB
Total RAM	20 GB
AI compute	52 TOPS
Systemd services	256
Network connections	106
Domains served	48+

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