Vineet Joshi

Vineet Joshi is a Software Engineer specializing in Embedded Deep Learning at MathWorks, where responsibilities include developing deep learning model compression techniques using Quantization. Prior roles at MathWorks involved creating Reference Applications for Autonomous Driving algorithms, including path planning, optimization, computer vision, and sensor fusion. Vineet also contributed to prototype development for Autonomous Driving projects, such as pedestrian detection and highway lane change planning. Earlier experience includes research positions at Visual Conception Group - IIIT Delhi and TavLab/MEDAIM, focusing on machine learning applications in public health. Academic credentials include a Master of Technology in Computer Science from Indraprastha Institute of Information Technology, Delhi, and a Bachelor of Technology in Computer Software Engineering from Graphic Era Deemed to be University. Additionally, Vineet served as a Graduate Teaching Assistant at IIIT Delhi, supporting several computer science courses.