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RoadChain-SHA2048: 428ab11c02ce78d6 RoadChain-Identity: alexa@sovereign RoadChain-Full: 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
2.4 KiB
2.4 KiB
Alexa Amundson
Database Engineer
amundsonalexa@gmail.com | github.com/blackboxprogramming
Summary
Database engineer managing 283 databases across 5 engines: 11 PostgreSQL, 230 SQLite (1.4 GB), 22 Cloudflare D1, 46 KV namespaces, and Qdrant vector DB. Designs schemas for AI agent memory, metrics collection, fleet state, and full-text search with FTS5.
Experience
BlackRoad OS | Founder & Data Lead | 2024–Present
PostgreSQL
- 11 production databases across 3 fleet nodes (Alice, Cecilia, Lucidia)
- Application state for CECE API, Lucidia API, and fleet services
- Automated backup and monitoring
SQLite / FTS5
- 230 SQLite databases (1.4 GB total) in ~/.blackroad/
- Key databases: metrics.db (6 tables), systems.db (111 entries), analytics.db, agents.db
- FTS5 full-text search index for code search across 354 repos
- Agent memory databases for AI conversation state
- Observability traces database with nanosecond-precision spans
Cloudflare D1
- 22 serverless databases (40 MB total) for edge applications
- images-blackroad: AI image generation metadata
- index-blackroad: code search index (2,524 files)
- blackroad-auth, blackroad-saas, blackroad-logs, and 17 more
KV / Key-Value
- 46 Cloudflare KV namespaces for edge state and configuration
- Agent inboxes, config, telemetry, templates, users, world state
- Low-latency edge reads for Cloudflare Workers
Vector Database
- Qdrant on Alice for semantic search and embeddings
- Knowledge retrieval for AI agent systems
Schema Design
- Metrics schema: metrics, counters, alerts, system_metrics, custom_metrics, metric_definitions
- Inventory schema: inventory, movements, locations
- Observability schema: traces, spans (parent-child), metrics, logs
- Dashboard schema: services, nodes, activity logs
Technical Skills
Databases: PostgreSQL, SQLite, Cloudflare D1, KV stores, Qdrant Search: FTS5 full-text search, vector similarity search Languages: Python, SQL, JavaScript, Bash Infrastructure: Linux, Docker, Cloudflare Workers Tools: psql, sqlite3, Wrangler, custom CLI tools
Metrics
| Metric | Value |
|---|---|
| Total databases | 283 |
| PostgreSQL DBs | 11 |
| SQLite DBs | 230 (1.4 GB) |
| D1 databases | 22 (40 MB) |
| KV namespaces | 46 |
| Systems tracked | 111 |
| Repos indexed | 354 |