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Alexa Amundson b85daa3e13 kpi: auto-update metrics 2026-03-13

RoadChain-SHA2048: 49e773ae1e6a6b0a
RoadChain-Identity: alexa@sovereign
RoadChain-Full: 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

2026-03-13 00:16:59 -05:00

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Raw Blame History

Alexa Amundson

AI/ML Engineer

amundsonalexa@gmail.com | github.com/blackboxprogramming

Summary

AI/ML engineer operating 27 deployed language models (48.1 GB) across a distributed edge fleet with 52 TOPS of dedicated AI acceleration. Builds custom model pipelines, inference APIs, and AI-powered automation across a 7-node infrastructure serving 48+ domains.

Experience

BlackRoad OS | Founder & AI Lead | 2024–Present

Model Deployment & Operations

Deploy and manage 27 Ollama models (48.1 GB) across 3 edge nodes
Fine-tuned 4 custom CECE personality models for domain-specific generation
Operate 2× Hailo-8 NPUs (26 TOPS each = 52 TOPS total) for accelerated inference
Built Ollama Bridge SSE proxy for streaming model responses to web clients

AI Infrastructure

Designed multi-node inference routing across Pi 5 fleet (20 GB RAM total)
Built AI image generation hub (images.blackroad.io) with 4 backend agents (DALL-E, Flux, SDXL)
Manage model lifecycle: deployment, monitoring, memory optimization, thermal throttle prevention
Reduced inference node temperature from 73.8°C to 57.9°C by isolating runaway generation loops

APIs & Integration

Built CECE API (FastAPI) for custom model interaction and TTS generation
Created code search engine indexing 354 repos with FTS5 full-text search
Operate 11 PostgreSQL databases for AI application state
Deploy AI services via Cloudflare Workers (99 Pages, 22 D1 databases)

Data & Knowledge Systems

Manage 230 SQLite databases (1.4 GB) for agent memory, metrics, and state
Built FTS5 knowledge index across 156,675 memory entries
111 registered systems tracked in systems database
Custom RoadC programming language with tree-walking interpreter

Automation & Monitoring

Daily automated KPI collection tracking 60+ AI and infrastructure metrics
Power optimization across all AI nodes (CPU governors, voltage tuning)
Self-healing autonomy scripts ensuring model availability

Technical Skills

AI/ML: Ollama, Hailo-8 NPU, DALL-E, Flux, SDXL, custom fine-tuning, LLM orchestration Languages: Python (470 repos), JavaScript (114 repos), TypeScript (85 repos), Bash, Go, C Frameworks: FastAPI, Next.js, React, Node.js Infrastructure: Raspberry Pi 5 fleet, Docker Swarm, WireGuard, Cloudflare Databases: PostgreSQL, SQLite/FTS5, Cloudflare D1, KV stores, Qdrant (vector) Tools: Ollama, Docker, GitHub Actions, Gitea, Wrangler

Metrics

Metric	Value
Models deployed	27 (48.1 GB)
AI acceleration	52 TOPS
Custom models	4 fine-tuned
Image gen agents	4
Databases	241 (11 PG + 230 SQLite)
Lines of code	7,212,320
Repos	1,810

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