Michael Ball

Background

About Michael Ball

Machine learning engineer with 7+ years industry experience working at the intersection of engineering and machine learning. Previously worked on classical natural language processing and conversational AI; now focused on MLOps & generative deep learning. Excels at turning state-of-the-art machine learning experiments into robust, scalable, and exciting products. Currently building the ML for Vara's breast cancer screening platform. Previously led the engineering team building Oculid's eye movement analytics platform for UX research. Also exploring real-time music visualisation and other applications of generative models. Graduated from Brown University with Honors (2019) after completing undergraduate thesis ('RIPPED') and being awarded the senior prize for contributions to ML research. Languages: Python, Tensorflow \ & TF-serving, Docker(-compose), PostgreSQL, Torch, Django \ & Celery, JS \ & React, Bash Tools: AWS (RDS, S3, ECS, EC2, SageMaker), Git, Terraform, Sentry, MLFlow, DVC, Jupyter/Colab, Gitlab CI, Tmux