Future
Where I'm heading and why. These aren't vague aspirations — they're directions I'm actively investing in. For the full timeline of how I got here, see About.
Current Focus
What I'm working on and learning right now.
Working on
- Digital twin experiment: distilled my Obsidian knowledge base into an AI that maintains this site.
- AI-native quality engineering — knowledge-base-driven test generation, pipeline gates, and agent-assisted regression.
- Weekly blog posts on AI + engineering + cognitive systems, with the digital twin as co-author.
Learning
- Coding agent internals — read Claude Code's full 1884-file source and built a tutorial site.
- MCP (Model Context Protocol) and how it enables tool integration for AI agents.
- First-principles frameworks for career navigation and expertise redefinition in the AI era.
Side interests
- NBA playoffs, DCA investing, geographic/career arbitrage analysis (CN vs SG vs US), and building compounding systems.