~/portfolio > ~/projects
$ ls -la
Side Projects
Enterprise tools, AI automation infrastructure, and full-stack applications — built for real-world production.
$ ls ai-automation/
$ ./run-etl.sh
Enterprise Data Migration Tooling
Python multi-threaded ETL with Azure Blob upload, chunking, cache systems, and image extraction. Deployed across 3 enterprise clients — processing 18,000+ records, 3,600+ factories, and growing.
$ /investigate
AI Investigation Pipeline
Automated investigation platform with 30+ custom skills, 6 specialized AI agent types, and composable plugin architecture. Notion intake → AI-driven analysis → cross-verification → Jira ticket creation.
$ docker compose up
MCP Server Ecosystem
3 custom MCP servers serving 20+ client environments: multi-database (PostgreSQL + MongoDB), log-downloader (Azure + AWS), and knowledge-base (fuzzy search across docs and patterns).
$ uvx dblens-mcp
DBLens MCP
Open-source read-only MCP server for PostgreSQL and MongoDB — safe database access for AI agents. 16 tools, SQL injection prevention, connection pooling, and schema caching.
$ ls applications/
$ npm run dev
BeeBeeRentals
Full-stack apartment rental platform with Google Maps geolocation, 2D/3D floor plan visualization, property listings, and OAuth authentication.
$ npm start
SPRight
Voice-centric dating app — users match through voice recordings instead of photos. Mutual likes open real-time chatrooms via Socket.io, with optional photo sharing and a rating system.