John Michael

I am part of the team working on the funded project titled “enhancing awareness creation and understanding of the data protection act in Kenya, Uganda, and Rwanda Using Large Language Models”. I successfully adapted GPT 4 for Summarization and Question Answering (QA) tasks only limiting it to the data of the three countries. This involved understanding the underlying architecture of the model, manipulating its parameters, and optimizing its performance through rigorous testing and validation

I participated in an innovative project that aimed to detect adulterated milk using computer vision and deep learning techniques. The project involved developing a novel algorithm that could analyze images of milk samples and identify the presence of contaminants or additives. The project was a challenging and rewarding experience that enhanced my skills and knowledge in machine learning and computer vision. Here is a link to the certificate.

BSc at the Jomo Kenyatta University of Agriculture and Technology with a major in computer science. My journey into machine learning started in my second year of Campus. I did the Stanford CS 229 course on ML and the Deep Learning Specialization on Coursera by Andrew Ng. I learnt how to create intelligent systems that can solve complex problems. Since then, my passion for machine learning has grown immensely, and I have been exploring various topics and applications in this field.