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ImageI have hands-on experience supporting AI and machine learning projects, particularly in the medical and computer vision domains. My work at the National Information Technology Development Agency involved collaborating on machine learning models for malaria detection, disease outbreak prediction, and facial recognition, where I worked with time series datasets and achieved high model accuracy. I am skilled in Python for data analysis and have a strong foundation in cloud infrastructure, automation, and DevOps practices, which enables me to efficiently manage, preprocess, and annotate large datasets for AI training. My technical toolkit includes tools like GitHub Actions, Docker, Kubernetes, and Ansible, and I am adept at ensuring data quality, consistency, and security in collaborative, cross-functional environments.
The project involved using images to train AI models on various disease detections for some agricaultural produce, and also malaria detection via blood cells samples.
Diploma in Cloud Engineering, Cloud Engineering
Bachelor of Agriculture, Agricultural Economics and Extension
Software Infrastructure Engineer
DevOps Engineer Intern
