Harsh is a Machine Learning Engineer specializing in Computer Vision and Deep Learning. He earned his Master’s in Computer Science from Boston University with a perfect 4.0 GPA, conducting research on Open-set 3D Object Detection under Professor Bryan Plummer. His expertise spans transformer-based algorithms, 3D object detection systems, and facial authentication technologies, combining academic rigor with practical industry experience. Before graduate school, Harsh worked as a Software Developer at Reflexis Systems (acquired by Zebra Technologies), where he led development teams and built enterprise-scale applications. He holds a Bachelor’s degree in Metallurgical Engineering and Materials Science from the Indian Institute of Technology Bombay (IITB). Passionate about advancing AI, Harsh continually explores new techniques to enhance machine learning systems and volunteers his time teaching underprivileged students.