Summary
Dheepan Ramanan is a Senior Data Scientist based in San Diego with over a decade of experience designing and shipping production ML systems and deep neural networks, including generative models. He leads teams and consults enterprise clients on applied ML across industries at AWS, where his projects range from sub-national famine prediction for the World Bank to real-time NLP recommendation engines that delivered double-digit performance lifts. He has a strong track record in productionization—automating training and API deployment on SageMaker, Lambda, and S3—and has delivered measurable business impact such as a 40% lift for an education recommender and a 12% improvement on famine forecasting. Prior roles at Digital Turbine, Qualtrics, and Clarabridge underscore his blend of applied research, large-scale data engineering, and commercial acumen in advertising, marketing, and customer insights. Known for translating complex models into operational systems, he also speaks publicly on ML best practices and has applied hierarchical and ensemble deep learning approaches in high-stakes settings.
10 years of coding experience
3 years of employment as a software developer
Graduated, Graduated at James Madison University