Washington State University
Doctorate in Chemical Engineering, Chemical/Polymer Engineering
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Throughout my career in R&D and chemical engineering, I have developed a strong foundation in managing, categorizing, and validating complex datasets—skills that directly translate to AI data labeling and model training. As a Lead Research Engineer at Zeta Tech Co., I oversaw extensive data management operations, where I ensured database integrity, refined search logic, and executed precise service categorization. My work routinely requires rigorous data collection and analysis using advanced statistical software, giving me a high level of proficiency in interpreting complex data structures and ensuring strict technical accuracy. In addition to data curation, I have extensive experience generating and validating the precise data required to train and parameterize complex predictive models. I frequently design experimental approaches to obtain high-quality data for model validation, utilizing tools like Minitab for statistical analysis and data interpretation. My background in building robust mathematical and diffusion models has improved the skills required to accurately evaluate, benchmark, and label advanced scientific data for AI systems.
Doctorate in Chemical Engineering, Chemical/Polymer Engineering
Lead Research Engineer
Graduate Student & Research Associate