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    Rishi Madhok

    Data & Applied Scientist II @ Microsoft Cloud & AI - Computer Vision @ Carnegie Mellon University - ex Uber ATG

    Rishi Madhok is a Principal Applied Science Manager at Microsoft, specializing in computer vision and machine learning.34 He leads a team developing cutting-edge computer vision models, particularly for aerial imagery.4

    Madhok holds a Master of Science in Computer Vision (MSCV) from the Robotics Institute, School of Computer Science at Carnegie Mellon University.2 His expertise spans areas such as computer vision, deep learning, and machine learning.1

    Throughout his career, Madhok has contributed to various research projects and publications. Notable works include:

    1. "Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition" (2019)1
    2. "SentiMozart: Music Generation based on Emotions" (2018)1
    3. "Towards latency-aware dnn optimization with gpu runtime analysis and tail effect elimination" (2022)1

    Madhok's research has been cited numerous times, with his most cited work having 136 citations.1 He has also been involved in projects related to 3D imaging, semantic understanding for contextual in-video advertising, and content-driven enrichment of formal text.1

    Recently, in 2023, Madhok was promoted to the position of Principal Applied Science Manager at Microsoft, reflecting his significant contributions and leadership in the field.3

    Highlights

    ‪Rishi Madhok‬ - ‪Google Scholar‬

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    Rishi Madhok
    Rishi Madhok, photo 1
    Rishi Madhok, photo 2
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    Location

    Redmond, Washington, United States