Doxel
Abhishek Singh has work experience starting from 2018. Abhishek began with a training program at KUKA Robotics and then became a summer trainee at the National Hydro-electric Power Corporation in the same year. In 2020, Abhishek worked as a deep learning applied researcher at One Hundred Feet, where they developed and deployed deep learning models for computer vision. Abhishek also worked as a machine learning engineer at Method Data Science, where they built an image similarity application using deep learning and AWS. Abhishek then worked as a graduate research assistant at the Illinois Institute of Technology iConsense from 2020 to 2021. Most recently, they joined Pictor Labs Inc in 2021 as a machine learning engineer before transitioning to their current role as a machine learning engineer at Doxel in 2022.
Abhishek Singh started their education journey in 2011 at Army Public School (APS), where they pursued a higher secondary education in Physics, Chemistry, and Maths. After completing their higher secondary education in 2015, they joined KRISHNA INSTITUTE OF ENGINEERING AND TECHNOLOGY, GHAZIABAD, where they obtained a Bachelor of Technology degree in Electronic and Communication in 2019.
In 2019, Abhishek Singh further pursued their education by enrolling at Illinois Institute of Technology. There, they completed a Master's degree in Artificial Intelligence from 2019 to 2021.
In addition to their formal education, Abhishek Singh has acquired additional certifications. In 2018, they obtained a certification in KUKA Robotics from KUKA Robotics. In 2019, they completed the "Google Analytics for Beginners" certification provided by Google. Furthermore, Abhishek Singh holds a certification from Sapro Robotics India Pvt Ltd. named "Sapro Robotics," although the specific details regarding the attainment month and year are not available.
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Doxel
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Doxel is an artificial intelligence and computer vision-based system that delivers significant productivity increases to commercial construction projects. Doxel uses autonomous devices to visually monitor every inch of a project, then feeds this data to its proprietary deep learning algorithms. The algorithms then inspect the quality of installed work and measure installed quantities in real time. This enables project managers to react to inefficiencies almost immediately and boost productivity as much as fifty percent.