I'm a Machine Learning Engineer with a deep interest in developing production-grade ML systems. My work spans the full lifecycle — from exploratory analysis and model development to deployment and monitoring at scale.

I thrive at the intersection of research and engineering, translating state-of-the-art papers into robust, maintainable code. Whether it's building recommendation engines, fine-tuning large language models, or designing feature pipelines, I focus on solutions that are both technically sound and business-aware.

When I'm not training models, you'll find me contributing to open-source projects, reading papers on arXiv, or exploring the latest in AI tooling and infrastructure.