About

Gagan Malhotra is an experienced Machine Learning Engineer and Data Scientist with a demonstrated history of researching and building Machine learning models, specifically recommendation systems, and implementing them at scale. He is skilled in TensorFlow, Spark, Pig, and AWS/GCP platforms for building the infrastructure for real-time, low latency ML model serving applications. Gagan has a strong engineering background with a Master's degree focused on Computer Science and specialized in Big Data from Rochester Institute of Technology. Currently, Gagan works as a Staff Machine Learning Engineer/Data Scientist at Sofi, where he is responsible for developing and implementing hyper-personalization for member experience via state-of-the-art deep learning models for recommender systems. He has also worked as a Senior Machine Learning Engineer/Data Scientist at Sofi, where he developed and implemented deep learning models for fraud detection and credit scoring. Before joining Sofi, Gagan worked as a Senior Data Scientist at Tapjoy, where he developed and implemented machine learning models for mobile app monetization and user acquisition. Gagan has a diverse educational background, including a Master's degree in Computer Science from Rochester Institute of Technology, a Bachelor's degree in Electronics from the University of Mumbai, and a High School Certificate in Science from Tarapur Vidya Mandir. Gagan's technical skills include ML, Data Scientist, Research Scientist, AWS, Recommendation system, Spark, Big Data, TensorFlow, GCP, infra, and Deep Learning. With 6.87 years of relevant experience, Gagan is a highly skilled and accomplished Machine Learning Engineer and Data Scientist.