Thoughts on math, machine learning, markets, and the lessons learned along the way.
Deep dive into implied volatility, smile curves, and how traders use vol surfaces for pricing.
How I learned that a 95% backtest accuracy means nothing when your model memorizes noise.
Breaking down the equations that make LSTMs effective for time-series prediction.
Architecture decisions and lessons learned building a scalable WebSocket-based chat system.
A practical guide to RSC, when to use them, and how they improve performance.
Techniques for making your Next.js apps blazingly fast with real-world examples.
When to use microservices, common pitfalls, and best practices from production systems.