Nima Soltani

Nima Soltani is an accomplished software engineer with a robust background in machine learning, computer vision, and signal processing. Currently serving as a Software Engineer at Glean, Nima previously held the position of Machine Learning Architect at Tome and was a Founding Engineer at Ghost Locomotion, where significant contributions included developing computer vision algorithms for autonomous driving and building machine learning pipelines. Early career experiences include roles at Apple as a Next Generation Sensor Algorithm Engineer, where Nima developed algorithms for health sensors, and various internships at notable companies such as NVIDIA and Broadcom. Nima holds a Ph.D. in Electrical and Electronics Engineering from Stanford University, along with a Master's degree from Stanford and a Bachelor's degree from the University of Waterloo.