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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

Edge Computing Engineer

amundsonalexa@gmail.com | github.com/blackboxprogramming

Summary

Edge computing engineer operating a 5-node Raspberry Pi fleet with 52 TOPS AI acceleration, 27 deployed models, WireGuard mesh networking, and carrier-grade WiFi mesh. Builds edge-native services with self-healing automation, thermal management, and hybrid edge-cloud architecture.

Experience

BlackRoad OS | Founder & Edge Lead | 2024–Present

Edge Fleet

5 Raspberry Pi nodes: 4× Pi 5 (8 GB RAM, NVMe), 1× Pi 400 (4 GB RAM)
2× Hailo-8 NPUs (26 TOPS each) for on-device AI inference
707 GB total fleet storage, 20 GB total RAM
Docker Swarm orchestration with automatic service placement

Edge AI

27 Ollama models (48.1 GB) running locally across 3 nodes
4 custom fine-tuned models for domain-specific inference
SSE proxy for streaming model responses to web clients
Image generation pipeline with 4 backend agents

Edge Networking

RoadNet: 5 WiFi access points (channels 1/6/11), dedicated 10.10.x.0/24 subnets
WireGuard mesh VPN (10.8.0.x) connecting all nodes to cloud hub
4 Cloudflare tunnels for secure external access
Pi-hole DNS, PowerDNS, custom dnsmasq zones at edge

Edge Reliability

Self-healing cron automation on every node
Power optimization: CPU governors, voltage tuning, thermal throttle prevention
Avg fleet temperature: 44.8°C (down from 73.8°C peak after optimization)
256 systemd services managed across fleet

Hybrid Architecture

Edge nodes handle AI inference, local services, DNS, monitoring
Cloud (Cloudflare) handles 99 Pages deployments, 22 D1 databases, CDN
DigitalOcean VMs as WireGuard hubs and public endpoints
Tailscale overlay (9 peers) for cross-network management

Technical Skills

Edge: Raspberry Pi 5, Hailo-8 NPU, NVMe, PCIe, GPIO, I2C Networking: WireGuard, WiFi mesh, Cloudflare Tunnels, DNS (Pi-hole, PowerDNS) AI: Ollama, Hailo-8 inference, custom model fine-tuning Containers: Docker, Docker Swarm Automation: systemd (256 services), cron (52 tasks), self-healing scripts

Metrics

Metric	Value
Edge nodes	5
AI acceleration	52 TOPS
Models deployed	27 (48.1 GB)
WiFi APs	5
Fleet storage	707 GB
Avg temperature	44.8°C
Services	256

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