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Lakshay Sharma has a diverse range of work experience. lakshay started their career as an Intern at Ericsson in 2016, where they implemented 4G mobile architecture in rural areas and analyzed terrain for network feasibility. In 2016, they also worked as a Graduate Engineering Trainee at Lepton Softwares, where they analyzed radio tower planning and provided software support to clients. In 2018, they worked as a Deep Learning Intern at Frenzy.ai, where they implemented object detection models using RFCN and POSENET. lakshay also worked as a Research Assistant at the Multimedia and Visual Computing lab at New York University in 2018, where they conducted research. Currently, they are a Machine Learning Engineer at Outward, Inc. starting in 2019.

Lakshay Sharma completed their Master's degree in Computer Engineering from New York University, attending from 2017 to 2019. Prior to that, they obtained a Bachelor's degree in Electrical, Electronics, and Communications Engineering from Vellore Institute of Technology, studying from 2012 to 2016. Additionally, they earned a certification in Machine Learning from Stanford University in February 2017.