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Freelancer Overview

I have a strong background in data annotation and AI training data, particularly within the medical and bioinformatics domains. My experience includes leading and contributing to projects involving the curation, labeling, and analysis of complex biological datasets, such as genomic, transcriptomic, and imaging data. I am skilled in using Python (pandas, biopython, matplotlib), R (ggplot2, tidyverse), and Linux/BaSH scripting for building efficient data pipelines and ensuring high-quality, reliable datasets for research and machine learning applications. I have worked on projects such as developing and validating machine learning models for malaria parasite detection in blood smear images, and participated in large-scale data analysis for genomics and immunology studies. My attention to detail, combined with hands-on experience in data cleaning, annotation, and visualization, enables me to deliver accurate and well-structured training data for AI and computational biology projects.

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