Machine Learning Engineer
Current- Designed recommendation models for banner ads to increase CTR using Neural Collaborative Filtering.- Designed LSTM-based item recommendation models using purchase history data. Collected raw data using Kafka, preprocessed it in Scala. - Developed user clustering model based on users' app usage and purchase history using K-Means.- Developed game agents with DNNs. Preprocessed terabyte-scale play data into trainable datasets using Scala. - Built friend affinity models using… Show more - Designed recommendation models for banner ads to increase CTR using Neural Collaborative Filtering.- Designed LSTM-based item recommendation models using purchase history data. Collected raw data using Kafka, preprocessed it in Scala. - Developed user clustering model based on users' app usage and purchase history using K-Means.- Developed game agents with DNNs. Preprocessed terabyte-scale play data into trainable datasets using Scala. - Built friend affinity models using social graph (neo4j) and neural network embeddings. Show less