About

Rishikesh Ghewari is a highly skilled Senior Research Engineer at Samsung Research America with a background in Machine Learning. He has extensive experience in User Response Prediction for Programmatic Ads and Recommendation Systems. Rishikesh is proficient in several computer languages such as Python, Scala, Java, and C++. He is also adept at using Machine Learning Tools such as Tensorflow, Spark, Spark-ML, Scikit-learn, and Keras. His interests include Recommendation Systems, AdTech, Machine Learning, Deep Learning, and NLP. At Samsung, Rishikesh has worked on several projects, including developing User Response Prediction models for Mobile Ads, implementing and deploying an ML-based Device Graph, and optimizing TV content feature extraction processes. He has also managed EMR clusters, JupyterHub on clusters, set up Airflow DAGs, and created Kibana dashboards to monitor deployed models. Prior to joining Samsung, Rishikesh worked as a Teaching Assistant at the University of California San Diego, where he taught undergraduate and graduate courses on web mining, recommender systems, and data mining and analysis. He also worked as a Software Development Intern at Arista, where he enhanced the company's EOS by adding CLI commands for openstack and worked with the OpenStack team to modularize provisioning logic. Rishikesh holds a Master's degree in Computer Science from the University of California and a Bachelor's degree in Computer Science from the Indian Institute of Technology, Guwahati. He has relevant experience of 5.95 years and is proficient in several technologies such as Research Scientist, ML, Spark, Recommendation system, Tensorflow, Mobile, Keras, Hyperparameter, Deep Learning, NLP, Apache Airflow, Scikit, Python, Scala, Java, Spring, Web, and Software Engineer.