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While my primary focus has been full-stack software engineering and financial systems, I have hands-on experience with machine learning and AI applications. I published research on Deep Learning for Brain MRI Classification in the ICTACT Journal, where I applied convolutional neural networks for automated medical image analysis. This project involved data preprocessing, model training, hyperparameter optimization, and validation on large medical imaging datasets. Additionally, through my AWS Developer Associate certification and continuous professional development, I've built expertise in ML-adjacent technologies including data pipelines, model deployment, and performance optimization. My background enables me to bridge the gap between ML research and production systems, ensuring scalable and reliable implementations.
While I haven't done dedicated data labeling work, my published research on Deep Learning for Brain MRI Classification involved significant data preprocessing, validation, and model training on medical imaging datasets. I'm open to developing skills in systematic data annotation and quality assurance for AI training pipelines
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Senior Software Engineer | National Bank of Kenya November 2024 – Present | Nairobi, Kenya – Architected and delivered a
