Vatsal Joshi is a Computer Science graduate from the University of Michigan, currently pursuing a Master’s degree at the University of Michigan - Rackham Graduate School. Vatsal held positions as a Software Engineer at Meta and as a Computer Vision Software Engineer Intern at Walbridge, where algorithms for human detection in construction vehicle blindspot detection were developed. Previous experience includes software engineering internships at MathWorks, where new features were added to MATLAB Tables, and Capital One, where a serverless vehicle title access system significantly reduced wait times. Additional roles include a website designer and developer for Euro Styles Inc., a board member of the Google Developer Student Clubs, and an account representative at Blue Chip Endeavors, achieving notable sales success. Vatsal has also contributed as a graduate student researcher in the Symbiotic Lab, focusing on optimizing LLM training processes.
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