Siddhant Garg

Siddhant Garg is a Machine Learning Engineer at Adobe since March 2024, with prior experience as a Graduate Research Assistant at the University of Massachusetts Amherst from July 2023 to March 2024, focusing on Multi-View Stereo and Volume Rendering for Neural Surface Reconstruction. Siddhant has a background as a Research Scientist Intern at Adobe, where a privacy-preserving benchmark validation dataset for AI/ML model assessment was developed. Previous roles include a Senior Software Engineer and Software Engineer at Samsung R&D Institute India, where work involved On-Device Deep Learning solutions, robust ML model development, and projects related to object detection. An early internship at Samsung involved enhancing keyboard accuracy. Siddhant holds a Master's degree in Computer Science from the University of Massachusetts Amherst and a Bachelor's degree in Maths and Computing from the Indian Institute of Technology, Kanpur.