Etermax is a mobile game development company, mostly known for the game Trivia Crack. My main projects at this position are the following: Implemented an image moderation system with CNNs using fast.ai. Explored various improvements on the question serving process using state-of-art and old fashioned NLP, clustering techniques, Pyspark and various ml models (question recommendation strategies based on collaborative filtering, trivia embeddings for detecting duplicates, similarity models for increasing content diversity). Implemented a simple rule-based categorization system for questions with high coverage for more than 100 classes. Currently, we are working on a win-rate prediction project for content personalization, trying factorization machines (FFM), collaborative filtering (Pyspark ALS, LightFM) and classification approaches. Technology stack: Pytorch, fast.ai, transformers, Spark, Databricks, AWS (EC2, S3, SageMaker, Lambda), Python Data stack, Redshift, MySQL, mlflow, airflow.