Bio

I am a highly motivated Machine Learning Engineer with experience in Computer Vision, NLP, Time Series Analysis, and ML (Bayes, Clustering & Recommenders). I have worked on various projects including image processing, soil SOM estimator, false claim detection, and emotion detection. I am currently pursuing a Bachelor of Science degree in Computer Science from Obafemi Awolowo University, Ile-Ife, and hold certifications in Microsoft AI Fundamentals, Fundamentals of Accelerated Computing with CUDA Python from NVIDIA and scored above 75% on the United States Artificial Intelligence Institute (USAII) exam. I have expertise in Tensorflow, Pytorch and am familiar with Jax. I am also experienced in Hyperparameter Optimization (Optuna, Keras Tuner) and knowledgeable in Java, Python, CUDA, SQL, Git & GitHub. As a technical writer, I have contributed to several companies, including Contentlab.io, Draft.dev, Neptune.ai, Fritz.ai, and Medium. I have written articles on various topics such as NLP concepts, Python tools, and data science, as well as how-to guides for building simple Android apps. I enjoy writing about AI and its applications. As a Gold Microsoft Learn Student Ambassador, I have presented at various events including DataFest Africa 2022, Black in AI, Global Azure, Deep Learning Indaba 2022, and an AI Research project on ocean monitoring for plastic debris in Kigali, Rwanda. I was also awarded Miss Algorithm by Data Scientist Network in 2021. I am always looking for new challenges and opportunities to learn and grow. I am available for remote work and am eager to collaborate with others who share my passion for AI and technology.