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TextWith over 12 years of combined experience in biotechnology research, academic writing, and content creation, I bring a strong foundation in data analysis, data annotation, and quality assurance for AI training data. My hands-on work in molecular biology and genomics involved managing, analyzing, and curating large datasets using Python, R, and bioinformatics tools like BLAST and NCBI, as well as visualizing data with Tableau and Matplotlib. I have contributed to peer-reviewed publications through precise data collection, labeling, and experimental documentation in both laboratory and field environments, particularly in cancer genomics and agricultural research. My background in academic and technical writing ensures clear communication and meticulous attention to detail, making me adept at supporting AI and machine learning projects that require accurate data labeling, annotation, and quality control in domains such as medical data, genomics, and sustainable agriculture.
The project involved crafting difficult and challenging prompts that stamped the LLM models or rather caused them to make errors. After that we were tasked with preparing a rubric for giving the correct answers
Master of Science, Biotechnology
Bachelor of Science, Biotechnology
Research Intern
Content Writer
