Research Intern - Data Annotation & AI Training
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As a Research Intern at Texas A&M University, I worked on developing models to predict porosity in Directed Energy Deposition using meltpool data. My tasks included data cleaning, annotation, and categorization of numeric and text process records. I helped create training datasets necessary for the supervised learning models in metal 3D printing research.
• Labeled experimental process logs and outcome records for porosity analysis.
• Used Python and Jupyter Notebook for annotation, transformation, and quality assurance.
• Ensured that all text and numeric entries were suitable for model input.
• Supported the research team by providing reliably labeled data for model validation.
As a Research Intern at Texas A&M University, I worked on developing models to predict porosity in Directed Energy Deposition using meltpool data. My tasks included data cleaning, annotation, and categorization of numeric and text process records. I helped create training datasets necessary for the supervised learning models in metal 3D printing research. • Labeled experimental process logs and outcome records for porosity analysis. • Used Python and Jupyter Notebook for annotation, transformation, and quality assurance. • Ensured that all text and numeric entries were suitable for model input. • Supported the research team by providing reliably labeled data for model validation.
2024 - 2025