I turn complex scientific and real-world data into dependable applications. I work end to end across data engineering, backend services, and applied AI, from integrating messy, heterogeneous sources to deploying predictive models and LLM-based solutions in practice.
My experience spans omics, biomedical, spatial, imaging, and time-series data, with a specialization in multimodal analysis and predictive modeling. I do my best work where scientific and business questions meet engineering realities, building AI systems grounded in well-organized data that people can trust.