Manjot Bilkhu is a Machine Learning Engineer with 8 years of experience, currently leading applied deep learning R&D for semantic segmentation at Apple from his San Diego base. He holds an MS in Machine Learning and Data Science from UC San Diego and a strong electrical engineering foundation from MNNIT, where he graduated with a 9.14 CPI. His background spans industry and academia, including internships and engineering roles at NVIDIA and Qualcomm and teaching experience as a graduate TA, giving him a practical yet research-informed approach to problem solving. Skilled in deep learning, computer vision, and pattern recognition, he focuses on data-centric solutions that bridge prototype research and production deployment. Colleagues rely on him to turn complex vision models into robust, deployable systems while mentoring teams on best practices.
8 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Electrical, Electronics and Communications Engineering, CPI : 9.14, Bachelor’s Degree, Electrical, Electronics and Communications Engineering, CPI : 9.14 at Motilal Nehru National Institute Of Technology
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Manjot Bilkhu - Machine Learning Engineer at Apple