About

About This Blog

This blog is where I document my exploration of applied Artificial Intelligence. My focus is on the practical challenges and nuances of building and evaluating robust systems, particularly in Natural Language Processing (NLP). I share deep dives and hands-on tutorials covering topics like Retrieval-Augmented Generation (RAG) and developing rigorous methods for evaluating system performance at both a component and end-to-end level.

My Background

I'm an engineer and entrepreneur with a diverse background that fuels my approach to technology. My experience ranges from academic research in fluid dynamics to building software tools for code security and data science applications. This blend of hardware, research, and software development has given me a deep appreciation for systems thinking, be it in AI or business.

My goal here is to share clear, practical insights that go beyond the hype, helping other engineers and practitioners build more effective and reliable AI systems.