Navjot Singh

Navjot Singh has over 10 years of work experience. In 2020, they began working as a Sr. Machine Learning Engineer for CurieAi. From 2016 to 2020, they worked at Knowles Intelligent Audio, first as a Staff Algorithm Engineer and then as a Sr. Algorithms Engineer. In their roles, they worked on low footprint deep learning based keyword trigger solutions, re-architected the voice wake solution with a multi-phase approach, created a new speaker verification module, improved upon deep learning based FA reduction modules, and enhanced TPR of legacy speaker dependent keyword wakeup solutions. From 2013 to 2016, they worked as a Sr. Audio Engineer for Audience Inc. Navjot also worked as an Audio Engineer for Audience, Inc. from 2012 to 2013. From 2011 to 2012, they worked as a Teaching Assistant at San Jose State University, where they tutored students in digital electronics lab, digital communications lab, and Linear Systems Theory graduate course. In 2010, they worked as a Student Intern for Tekmark Global Solutions (for Motorola Inc.)

Navjot Singh has a strong educational background. Navjot obtained a B. Tech in Electronics and Communications Engineering from Guru Nanak Dev University between 2005 and 2009. Navjot then went on to earn an M.S. in Electrical Engineering from San Jose State University between 2009 and 2011. In addition to their formal education, Navjot Singh has obtained several certifications, including Learning SQL Programming from LinkedIn in October 2020, Programming Foundations: Databases from LinkedIn in September 2020, Deep Learning Specialization from Coursera in January 2020, and Machine Learning from Coursera Course Certificates in October 2016.