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RoadChain-SHA2048: 49e773ae1e6a6b0a RoadChain-Identity: alexa@sovereign RoadChain-Full: 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
2.3 KiB
2.3 KiB
Alexa Amundson
Python Developer
amundsonalexa@gmail.com | github.com/blackboxprogramming
Summary
Python developer with 470 Python repositories building FastAPI services, CLI tools, data pipelines, AI model interfaces, and automation scripts. Operates 11 PostgreSQL databases, 230 SQLite databases, and production APIs serving 27 AI models across a distributed fleet.
Experience
BlackRoad OS | Founder & Python Lead | 2024–Present
API Development (FastAPI)
- CECE API: AI model interaction service with streaming responses
- TTS API: Text-to-speech generation backend
- Lucidia API: Full application backend with auth integration
- KPI collection service: 9 data collectors with JSON aggregation
Data & Automation
- 230 SQLite databases (1.4 GB) managed via Python sqlite3
- FTS5 full-text search across 354 repos and 156,675 memory entries
- Daily KPI pipeline: GitHub/Gitea API collection, SSH fleet probing, metric aggregation
- Fleet probe scripts: Python-based remote execution piped over SSH
AI/ML Integration
- Ollama API integration for 27 model endpoints
- Custom fine-tuning pipeline for 4 CECE personality models
- Image generation orchestration across 4 backends (DALL-E, Flux, SDXL, Together)
- SSE/WebSocket streaming for real-time model responses
CLI & Scripting
- RoadC interpreter: lexer, parser, tree-walking evaluator in Python
roadid: fleet identity management CLIcarpool: agent routing and load balancing tool- Fleet power optimization scripts with --apply mode
- Observability system with distributed tracing
Infrastructure
- 35 pip packages installed for production use
- Docker containerization of Python services
- GitHub Actions CI/CD for Python projects
- PostgreSQL (psycopg2) and SQLite database management
Technical Skills
Python: FastAPI, sqlite3, json, urllib, subprocess, asyncio Databases: PostgreSQL (psycopg2), SQLite/FTS5, Cloudflare D1 AI/ML: Ollama, model fine-tuning, inference APIs APIs: REST, WebSocket, SSE, GitHub API, Cloudflare API Tools: Docker, GitHub Actions, pip, venv
Metrics
| Metric | Value |
|---|---|
| Python repos | 470 |
| APIs built | 4+ |
| SQLite DBs | 230 |
| PostgreSQL DBs | 11 |
| pip packages | 35 |
| Models integrated | 27 |
| Lines of code | 7,212,320 |