// TECHNICAL_BLOG
Thoughts on ML engineering, production systems, and lessons learned from building ML at scale.
How I built a mobile app that implements computer science algorithms like Bayesian optimization and the 37% rule to help people make better everyday decisions.
How I built a real-time multiplayer chess variant with 16 spell cards and an AI engine that achieves 18-160x performance improvements through advanced optimization techniques.
A technical deep-dive into building a mobile learning platform that uses Claude AI and web search to generate personalized educational content.
A practical guide to building production-ready agentic AI systems with human-in-the-loop workflows.
How to use causal ML techniques to understand true price elasticity and avoid spurious correlations.
Lessons learned building forecasting systems that serve millions of predictions daily.
Lessons learned building production ML systems at Europe's largest online fashion platform.