David Grigorian

– Organizing data processing, delivering models to prod – Monitoring of inference on prod and fixing production issues for 2 days – Data collection for datasets – Development of Python library for internal use for augmentation nonstandard images – Development, automatization, and support of ML pipelines

– Data collection for datasets, building ML models. Implemented 19 models for promotional messages on different channels. – Creating a recommendation system for streaming service using LightFM – Development, automatization, and support ML pipelines using Airflow. – A/B tests – Creating and using MLOps infrastructure for model productization – Creating a recommendation system for subscription streaming service – Mentoring new teammates, knowledge transfer, and onboarding relief

– Research and overview articles – EDA (exploratory data analysis) – Development and maintenance algorithm of price adjustment for marketplaces and getting a 5% increase in profits – Testing of a model, a finding of critical cases – Realization of the algorithm on Scala for production