About

Debarchan Das is a persistent and motivated Computer Vision Engineer at Adagrad AI, with a Bachelor's degree in Mechanical Engineering and a Master's degree in Aeronautical Engineering from Linköping University. He is highly passionate about aircraft and automobile design, and his field of studies include Design, Multidisciplinary Optimization, Aerodynamics, Computational Fluid Dynamics, Computational Heat transfer, and Finite element analysis. Debarchan has 2.27 years of relevant experience in the field of Computer Vision and AI. He has previously worked as a Computer Vision Engineer at Arkvien AI, where he gained experience in developing and deploying computer vision models for object detection and recognition. He has also worked as a Master Thesis Student at Linköping University, where he developed high-fidelity disciplinary models to analyze the aerodynamic, structural, and stealth characteristics of a Unmanned Aerial Vehicle wing using Multidisciplinary Optimization. Currently, Debarchan is working as a Computer Vision Engineer at Adagrad AI, where he is responsible for developing and deploying computer vision models for various applications. He is highly skilled in Computer Vision and AI, and his tech stack includes Computer Vision and AI. In addition to his professional experience, Debarchan has also worked with the Liu Formula Student Team as a Chassis Engineer and pursued projects in the university, which gave him exposure to real-life engineering problems associated with the industry. Debarchan is currently seeking a full-time role as a CAE/Mechanical Design Engineer in the industry. He is a highly motivated and skilled engineer with a passion for aircraft and automobile design, and his experience in Computer Vision and AI makes him a valuable asset to any organization.