About

Gundeep Arora is a Senior Machine Learning Scientist at Amazon with over 6 years of relevant experience. He is a machine learning practitioner with expertise in both theoretical and applied machine learning, including deep learning, computer vision, and natural language processing. Gundeep has a track record of building resilient systems that deploy low latency, robust models. He focuses on solving complex business problems with theoretically sound approaches. Gundeep's current role at Amazon involves working on causal inference and graph-based deep learning models for India's retail and lending business. He has also worked as a Data & Applied Scientist at Microsoft, where he developed large scale systems and ML models for legal and policy compliance of text and image ads. He has also worked on scalable intelligent solutions for fighting abuse, content moderation, and content quality assurance. Gundeep's key skills include ML, applied deep learning, and scalable ML deployment. Gundeep is an accomplished researcher with papers at conferences such as CVPR, IJCAI, SIGIR, and ICC. He is a Google Scholar with a significant number of citations to his name. Gundeep's education background includes a Master of Technology in Computer Science from IIT and a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from IIT. Gundeep's tech stack includes Python, QA, Infra, Software Engineering, MemCache, Data Engineering, MySQL, Cassandra, Elastic Search, ETL, Integration, Mobile, NodeJS, and more. He has also worked on user personalization, user retention, demand forecasting, and data-driven legal compliance and abuse at scale. Overall, Gundeep Arora is a highly skilled and experienced machine learning scientist with a proven track record of building robust systems and solving complex business problems.