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Harsh Saxena has held various roles in the computer vision field since 2018. In 2018, they completed a Computer Vision Research Internship with the Defence Research and Development Organisation (DRDO), where they learned Image Segmentation, Object Detection and Tracking, Image Processing, and Video Stabilization. Harsh also developed two projects and published a research paper on the second project in Springer International. In 2019, they completed a Computer Vision Research Internship with the Indian Institute of Technology, Kanpur, where they collaborated with Ph.D. students and learned about Stereo, Camera Calibration, and Depth Estimation. Harsh also worked as a Computer Vision Developer at TDB.ai. In 2020, they began working as a Senior Computer Vision Engineer at Orbo.ai, where they actively managed all phases of the 3 phases of the project life cycle including data acquisition, model selection, and training. Harsh also developed and implemented around 7 novel state-of-the-art algorithms with computer vision, image processing, and deep learning methods, and contributed to Orbo’s 3 mainstream products.

Harsh Saxena obtained a Bachelor of Technology in Electrical, Electronics and Communications Engineering from Maharaja Surajmal Institute of Technology between 2016 and 2020. Additionally, they have two certifications from IEEE and Springer Science+Business Media, obtained in July 2019 and December 2018, respectively.