Vaidehi is a principal engineer at MathWorks with over 10 years of software engineering experience. She leads the efforts to generate embedded efficient deep learning network representations using quantization and model compression techniques. In the past, she has developed software tools for automatic deployment of embedded applications on microprocessors, ECUs and FPGAs. Vaidehi has a bachelor’s degree in Information Systems and master’s degree in Computer Science with a specialization in Machine Learning. Prior to MathWorks, Vaidehi was a software engineer at Bloomberg working on solutions that provide e-communication surveillance. Vaidehi has presented technical talks at the MathWorks Research Summit and the MathWorks Advisory Board meetings.
