Thoughts, write-ups, and lessons learned while working on AI, machine learning, and software engineering projects.
Notes on what actually breaks when you move an LLM extraction pipeline from a notebook into production, and the patterns that held up.
A breakdown of weakly supervised learning techniques for computer vision tasks where fully-labeled data is expensive or unavailable.
How a side project turned into a deeper interest in multi-agent architectures, and what surprised me along the way.
Notes on what actually breaks when you move an LLM extraction pipeline from a notebook into production, and the patterns that held up.
What I'd do differently after going through the full cycle of writing, submitting, and presenting a paper at an international conference.
How a side project turned into a deeper interest in multi-agent architectures, and what surprised me along the way.
What I'd do differently after going through the full cycle of writing, submitting, and presenting a paper at an international conference.
A breakdown of weakly supervised learning techniques for computer vision tasks where fully-labeled data is expensive or unavailable.