Technical Program Manager / Engineering Manager passionate about building high-value products, with proven ability to lead both technical and marketing teams to achieve organizational objectives.

I am excited about driving positive change in Africa through Technology, entrepreneurship and innovation. When not building products, I love to teach. I believe education should be free and accessible to all.

Olayinka is a Senior Machine Learning Engineer from Lagos Nigeria, a Google Developer Expert for Machine Learning, and the first TensorFlow certified developer in Sub-Saharan Africa. He's had consistent experience with building, productionizing, and monitoring machine learning models and pipelines for 4+ years with tools such as Python, TensorFlow, Keras, Sklearn, Flask, FastAPI, GCP, Airflow, MLflow, etc. He spends his free time writing about machine learning and tensorflow on his personal blog here: https://coffeewithpeter.com, and has been speaking at several tech events across Africa since 2015. See some of his talks here: https://speakerdeck.com/olayinkapeter

As an associate, she supports a Post Doctorate Data Scientist in a project to Predict Cardiac Adverse Events using Machine Learning Algorithms and Electronic Health Records Data. Before this, Diana worked with healthcare start-ups on AI projects to find a correlation between symptoms, triggers, and morbidity for Hashimoto’s disease and another building predictive models using EMG signals and patient data to detect and predict painful behaviors for lateral elbow patients. She is also an instructor at Code First Girls UK, where she gets to teach and guide other women into a career in Data Science. Diana enjoys organizing events and workshops related to Tech, AI, and Data and thus volunteers as a Google Women Techmaker Ambassador and Women in Data Science Kenya Community Organizer. She is currently at the onset of her MSC in Artificial Intelligence at the University of Essex

and looks forward to writing papers on research in Healthcare and AI. She enjoys listening to podcasts, spending time with her family, and watching Sci-Fi movies during her free time.

As an associate, she supports a Post Doctorate Data Scientist in a project to Predict Cardiac Adverse Events using Machine Learning Algorithms and Electronic Health Records Data. Before this, Diana worked with healthcare start-ups on AI projects to find a correlation between symptoms, triggers, and morbidity for Hashimoto’s disease and another building predictive models using EMG signals and patient data to detect and predict painful behaviors for lateral elbow patients. She is also an instructor at Code First Girls UK, where she gets to teach and guide other women into a career in Data Science. Diana enjoys organizing events and workshops related to Tech, AI, and Data and thus volunteers as a Google Women Techmaker Ambassador and Women in Data Science Kenya Community Organizer. She is currently at the onset of her MSC in Artificial Intelligence at the University of Essex

and looks forward to writing papers on research in Healthcare and AI. She enjoys listening to podcasts, spending time with her family, and watching Sci-Fi movies during her free time.