Thoughts on AI/ML, software development, and building intelligent systems
Learn how Retrieval-Augmented Generation works and build a practical AI assistant that can answer questions about your documents.
Practical advice for aspiring machine learning engineers based on real-world experience building production ML systems.
Key architectural decisions and performance optimizations for building dashboards that handle real-time data at scale.
