About

Mohit Surana is a highly skilled Software Engineer with a strong background in Machine Learning. Currently employed at Google, he works on the Assistant NBU Quality team as a Software Engineer - Machine Learning. Prior to joining Google, Mohit worked at Yelp as a Software Engineer - Machine Learning on the Spam team. Mohit has a Master of Science in Computer Science from the University of Massachusetts, where he gained a solid academic foundation. He is a quick learner with strong fundamentals developed through diverse projects and work experience at top companies. Mohit is constantly on the lookout for challenging opportunities at the intersection of Machine Learning and Software Engineering. At Yelp, Mohit played a key role in building systems that detect abuse in user-generated content. He wore many hats, from end-to-end model prototyping to building and maintaining models that capture specific user-review behaviors. Mohit collaborated on cross-team bot detection models and integrated state-of-the-art natural language processing techniques to enhance spam recall. He also refactored legacy architectures and database access patterns to make systems more resilient, leading to tens of thousands of dollars in savings annually. Prior to joining Yelp, Mohit worked as a Research Assistant at the Information Extraction & Synthesis Laboratory at the University of Massachusetts. There, he focused on ways to navigate large scale graphs to find nearest neighbors efficiently using Reinforcement Learning. Mohit is a highly skilled Software Engineer with expertise in ML, NLP, Spark, Scikit, Big Data, Python, Pandas, ETL, and Reinforcement Learning. With 3.61 years of relevant experience, he is an asset to any team. Mohit is passionate about his work and is always eager to take on new challenges and push the boundaries of what is possible.