Building ML Systems at Scale
Lessons learned from deploying machine learning models in production environments, including monitoring, versioning, and handling data drift.
Writing about machine learning, software engineering, and the occasional personal reflection.
Lessons learned from deploying machine learning models in production environments, including monitoring, versioning, and handling data drift.
A deep dive into the transformer architecture, attention mechanisms, and why they've become the foundation of modern NLP and beyond.
Principles for writing clear technical documentation and blog posts that actually help readers understand complex topics.
Reflections on maintaining popular open source projects, dealing with community expectations, and sustainable contribution patterns.
Personal reflections on career growth, the importance of fundamentals, and advice I'd give my younger self.