Elston is a machine learning engineer specializing in speech and AI systems, with experience building and deploying end-to-end production pipelines. They have contributed to research and real-world applications, including work published at NeurIPS 2024, and have collaborated with leading academic institutions across the US and Asia.

With a strong background in both engineering and startup environments, Elston excels at developing scalable models, optimizing performance for production, and bridging research with practical deployment—particularly in fast-moving, data-driven domains like ASR.