In this post, I share my journey through the Hugging Face AI Agents Challenge, where I built an autonomous AI agent capable of solving complex, multi-step problems. From experimenting with different frameworks and models to optimizing prompts and tools, I explore key lessons learned, like the importance of model choice, debugging strategies, and observability. Whether you're new to AI agents or looking to deepen your skills, this post offers practical insights from hands-on experience that helped me place in the top 10%!
Published: May 2025
A powerful detection algorithm for one medical center, but unsuitable for another. This is one of the major problems faced by research teams wishing to deploy their models on a large scale. In this article, I introduce this challenge called Domain Adaptation in the context of medical imaging, based on my experience at AZmed.
Published: June 2020