Sayli Bapat is an Applied Scientist at Microsoft with three years of industry and academic experience bridging research and production ML systems. She progressed from internships and graduate teaching roles at Purdue to applied science positions at Microsoft, bringing practical experience in gesture recognition, interactive displays, and fraud-detection prototypes from earlier research and internship projects. Skilled in turning research insights into deployable models, she operates at the intersection of human-centered computation and scalable engineering. Based in the Greater Seattle Area, she combines a Purdue MS in Computer Science with hands-on experience in both distributed systems and user-focused machine learning, and she has a track record of contributing to projects that explore how people—especially children—interact with novel interfaces.
3 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Purdue University
Bachelor of Engineering, Computer Engineering, Bachelor of Engineering, Computer Engineering at Maharashtra Institute of Technology
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