Kesha Williams

With over 20 years of experience in software development, Kesha sees AI/ML (artificial intelligence and machine learning) as the next wave of transformative technology that will change life in unimaginable ways.

She successfully transformed her engineering skills from Java Developer to ML Practitioner by learning hands on with AWS AI solutions like AWS DeepLens, Amazon Rekognition, and Amazon SageMaker, as well as investing her 2017 spring break into learning about Tensorflow, Jupyter, and Python. Kesha believes that as we all benefit from integrating technology into our everyday lives, we still struggle to make meaningful relationships with each other. To solve this, Kesha develops ML models on Amazon SageMaker using computer vision and natural language processing to help us better connect with people around us.

Kesha is active in the community by helping others find their path to machine learning. She authors courses for learning platforms such as Manning Publications, Packt, LinkedIn Learning, A Cloud Guru, and Cloud Academy. She also advocates for building bias-free models while sharing her lessons learned at conferences around the globe such as AI World, DataSciCon.Tech, NDC{London}, Pluralsight LIVE, and AWS re:Invent.