Cibe Sridharan is an experienced AI Engineer with a passion for Big Data and Machine Learning techniques. With over four years of experience, Cibe has successfully deployed scalable AI solutions using Google Cloud for large datasets, targeting around 10M customers per week on average. Cibe is skilled in various technical tools including Apache Hadoop, Spark, Hive, Jenkins, and NoSQL-BigTable. Furthermore, Cibe has mastered cloud platforms such as Google Cloud Platform Dataproc, Dataflow, Airflow, CloudML, Bigquery, and DataStudio. Cibe's primary domain expertise includes Upsell, Churn prediction and Revenue Forecasting, CPG, and CLV. Cibe specializes in a wide range of Machine Learning Techniques including Deep Learning, Xgboost, and RandomForest, and NLP Techniques that include Topic Modelling and Word2Vec. Cibe is a skilled recommender systems expert in Matrix Factorization and User-item similarity. When not working, Cibe enjoys teaching big data and ML techniques, swimming, dancing, and playing games and solving puzzles.