I build agentic AI systems and large-scale recommender engines, from first principles to production. I have strong conviction on combining leadership with being hands-on. This site is where I share the patterns, failures, and lessons from systems I'm shipping.
Looking to trade notes with peers working on similar problems.
Discussion on whether LLMs get smarter or dumber when they try to learn from their own data, based on empirical evidence from building DeepSeek V3.2.
Benchmarking managed web crawling APIs for AI agent pipelines. Spider.cloud's smart waterfall approach delivers 2x more content at 5x lower cost.
Building a personal site from scratch with AI coding agents: what I learned comparing Gemini 3, GPT-5.1, and Claude across different platforms.