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72 lines
2.4 KiB
Markdown
72 lines
2.4 KiB
Markdown
# Alexa Amundson
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**Edge Computing Engineer**
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amundsonalexa@gmail.com | [github.com/blackboxprogramming](https://github.com/blackboxprogramming)
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---
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## Summary
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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.
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---
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## Experience
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### BlackRoad OS | Founder & Edge Lead | 2025–Present
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**Edge Fleet**
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- 5 Raspberry Pi nodes: 4× Pi 5 (8 GB RAM, NVMe), 1× Pi 400 (4 GB RAM)
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- 2× Hailo-8 NPUs (26 TOPS each) for on-device AI inference
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- 707 GB total fleet storage, 20 GB total RAM
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- Docker Swarm orchestration with automatic service placement
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**Edge AI**
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- 27 Ollama models (48.1 GB) running locally across 3 nodes
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- 4 custom fine-tuned models for domain-specific inference
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- SSE proxy for streaming model responses to web clients
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- Image generation pipeline with 4 backend agents
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**Edge Networking**
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- RoadNet: 5 WiFi access points (channels 1/6/11), dedicated 10.10.x.0/24 subnets
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- WireGuard mesh VPN (10.8.0.x) connecting all nodes to cloud hub
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- 4 Cloudflare tunnels for secure external access
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- Pi-hole DNS, PowerDNS, custom dnsmasq zones at edge
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**Edge Reliability**
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- Self-healing cron automation on every node
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- Power optimization: CPU governors, voltage tuning, thermal throttle prevention
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- Avg fleet temperature: 44.8°C (down from 73.8°C peak after optimization)
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- 256 systemd services managed across fleet
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**Hybrid Architecture**
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- Edge nodes handle AI inference, local services, DNS, monitoring
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- Cloud (Cloudflare) handles 99 Pages deployments, 22 D1 databases, CDN
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- DigitalOcean VMs as WireGuard hubs and public endpoints
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- Tailscale overlay (9 peers) for cross-network management
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---
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## Technical Skills
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**Edge:** Raspberry Pi 5, Hailo-8 NPU, NVMe, PCIe, GPIO, I2C
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**Networking:** WireGuard, WiFi mesh, Cloudflare Tunnels, DNS (Pi-hole, PowerDNS)
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**AI:** Ollama, Hailo-8 inference, custom model fine-tuning
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**Containers:** Docker, Docker Swarm
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**Automation:** systemd (256 services), cron (52 tasks), self-healing scripts
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---
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## Metrics
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| Metric | Value |
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|--------|-------|
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| Edge nodes | 5 |
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| AI acceleration | 52 TOPS |
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| Models deployed | 27 (48.1 GB) |
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| WiFi APs | 5 |
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| Fleet storage | 707 GB |
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| Avg temperature | 44.8°C |
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| Services | 256 |
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