I'm a software engineer focused on building scalable, composable systems that combine modern backend frameworks, functional programming, and containerized infrastructure. I specialize in semantic knowledge graph engineering using RDF, OWL, and SPARQL to transform unstructured data into machine-interpretable ontologies. My work blends AI integration, automated data pipelines, and reproducible data science workflows, building custom deep learning models in PyTorch, emphasizing modular code that teams can extend collaboratively. As a technical leader, I drive architecture, mentor engineers, and ensure projects align with performance, and domain semantics. I'm especially passionate about using ontologies and structured reasoning to enable explainable, interoperable systems at enterprise and national scale.