Harry Souris

Harry Souris

Harry Souris works at Silo AI Sweden as Senior AI Engineer. Experience in the area of analytics & Data Science & Machine Learning & Big Data in various roles, including architect, developer and acting as technical product owner for SEB’s MLOps platform. Master from KTH in the area of Internet technologies and communication systems. Master from Stockholm University in the area of Decision analysis and Data science (ongoing) and Bachelor’s degree in Computer Science.

Versioning, transparency & monitoring in machine learning pipelines

With proper versioning, we can combine model predictions and the corresponding input data with model versions and trained data. With this kind of grouping, we can eventually detect data drifts and model miss performances. When it comes to implementation of the ML model, once we have set up the right versioning components and deployment scripts, then we can periodically run (batch) jobs that parse our predictions and analyze their quality.

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