Machine Learning
Creating prompt and ensuring the machine fails it.
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I am a detail-oriented data analyst and computing engineer with a PhD in Bioinformatics, specializing in the curation, validation, and quality assurance of complex datasets for AI and machine learning applications. My experience includes designing and executing data validation protocols for biomedical NLP models, identifying annotation inconsistencies, and implementing quality control measures that directly improved model accuracy. I have hands-on expertise with tools such as Python (NumPy, Pandas, Biopython), R, SQL, and Clustal Omega, and have worked extensively with large-scale genomic and protein interaction datasets. My background also includes evaluating search engine outputs and providing actionable feedback to optimize algorithm performance, as well as authoring technical documentation and peer-reviewed publications focused on data integrity and reproducibility. I am passionate about leveraging my analytical skills and domain knowledge to ensure high-quality training data for next-generation AI systems.
Creating prompt and ensuring the machine fails it.
M.sc in Mathematic and Statistics, Engineering
Doctor of Philosophy, Bioinformatics
Graduate Research Assistant