Basak Eskili
Basak Eskili is a Machine Learning Engineer at Ahold Delhaize. She is working on creating new tools and infrastructure that enable data scientists to quickly operationalise algorithms. She is bridging the space between data scientists and platform engineers while improving the way of working in accordance with MLOps principles.
In her previous role, she was responsible for bringing models to production. She focused on NLP projects and building data processing pipelines. Basak also implemented new solutions by using cloud services for existing applications and databases to improve time and efficiency.
Sessions
Model traceability and reproducibility are crucial steps when deploying machine learning models. Model traceability allows us to know which version of the model generated which prediction. Model reproducibility ensures that we can roll back to the previous versions of the model anytime we want.
We, as ML engineers, designed reusable workflows which enable data scientists to follow these two principles by design.