Why I Started Writing About Data Grids and AI
After years of building data-intensive applications for finance, I realized there is a gap in practical technical content. This site aims to fill it.
Most content about data grids is either marketing fluff or academic theory. Same with AI in production — endless hype, very little practical guidance.
After years of building trading systems and financial applications, I’ve accumulated patterns that actually work. This site is where I’ll share them.
What You’ll Find Here
Data Grid Performance — How to build grids that handle millions of rows with sub-millisecond updates. Virtualization strategies, state management patterns, and the trade-offs nobody talks about.
AI in Production — Practical approaches to shipping AI features. Not “here’s a ChatGPT wrapper” but actual production concerns: reliability, hallucination prevention, latency optimization, and cost management.
Finance Tech — Software patterns for applications where correctness and speed both matter. Trading interfaces, analytics dashboards, real-time data pipelines.
Why This Matters
The intersection of AI and high-performance data infrastructure is where the interesting problems are. Finance is just the domain — the patterns apply anywhere you need to move fast without breaking things.
If you’re building data-intensive applications or integrating AI into serious software, this site is for you.