Medha Sagar is a senior data scientist based in Seattle with a decade of experience building production ML systems and enterprise data products across companies like Tinder, Starbucks, SAP, and Fred Hutch. She blends hands-on model development (from MRCNN-based computer vision and TensorFlow Lite inference to CRF sequence labeling) with building scalable Flask microservices and end-to-end ML pipelines for customer-facing and product teams. Medha has published two papers in applied machine learning and repeatedly delivered measurable improvements—e.g., boosting recommender accuracy and architecting sub-10ms inference for on-device detection. Comfortable moving between research and engineering, she pairs academic rigor from UW’s Data Science master’s with practical wins such as MVP awards at SAP and cross-domain experience spanning healthcare, retail, and consumer apps. An understated strength is her knack for translating complex models into clear, user-facing solutions that improve communication and business outcomes.
10 years of coding experience
8 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at University of Washington
High School Mathematics and Computer Science, High School Mathematics and Computer Science at Somerville School, Delhi
Bachelor’s Degree Information Technology, Bachelor’s Degree Information Technology at Indira Gandhi Institute Of Technology
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