Manjot Singh Bilkhu is a dedicated Machine Learning Engineer at Apple, where he specializes in the research and development of cutting-edge deep learning solutions tailored for complex computer vision challenges. With a robust academic foundation, including a Master’s degree in Machine Learning from UC San...
Manjot Singh Bilkhu is a dedicated Machine Learning Engineer at Apple, where he specializes in the research and development of cutting-edge deep learning solutions tailored for complex computer vision challenges. With a robust academic foundation, including a Master’s degree in Machine Learning from UC San Diego, Manjot has honed his expertise in semantic segmentation, a critical area in computer vision that involves partitioning images into meaningful segments for enhanced analysis and interpretation.
At Apple, Manjot is instrumental in driving innovative projects that leverage advanced deep learning techniques to improve image recognition and processing capabilities across various applications. His previous experience at industry giants NVIDIA and Qualcomm has equipped him with a wealth of knowledge in computational photography and computer vision, allowing him to contribute effectively to Apple's vision of creating intuitive and intelligent user experiences.
Manjot’s technical proficiency spans a diverse array of skills, including Python programming, PyTorch for deep learning model development, and a solid understanding of data structures essential for efficient algorithm implementation. His adeptness in managing complex projects is complemented by his familiarity with PL/SQL and Verilog, showcasing his versatility in both software and hardware domains.
As he continues to push the boundaries of machine learning at Apple, Manjot remains committed to advancing the field of computer vision, ensuring that the solutions he develops not only meet current technological demands but also pave the way for future innovations. His passion for research and development, combined with his collaborative spirit, positions him as a key player in shaping the future of intelligent systems.