Prashant D.

Prashant focuses on computer vision, deep learning, machine learning, concept designing for Smart traffic management (edge computing, embedded systems, IoT ). He has extensive knowledge of various computer vision techniques, convolutional neural network architectures, machine learning algorithms, edge computing devices, IoT devices, microcontroller architectures, and interfaces, programming. He is passionate about a self-driving car, healthcare, wireless technology, automation, and robotics. At present, he is Research Scholar at NITR pursuing PhD, batch of 2018-2020. A multi-faceted, energetic individual, having flair for technology and enthusiasm for smart city product development with areas of interest in intelligent traffic management, deep learning, object detection, design thinking, strategy-operations. Earlier, he was instrumental in the novel drive control systems for mobility carts for people with motor disability as PA-II at Central Scientific Instruments Organization (CSIO) Chandigarh. Coordinated with scientists and research fellows to ensure new product positioning strategy-costing, features, discussions with internal functions - engineering, manufacturing, quality, purchase, marketing, and sales. His core competencies in last 7 years revolve around: • New Product Development (end-to-end design & development) • Product Management • Research • Technical Writing • Computer Vision • Deep Learning • Machine Learning • Verification & Validation • Value Engineering (functional & design analysis, group technology, benchmarking) • Embedded Systems • Hardware Designing • Internet of Things • Edge computing video processing boards (Nvidia Jetson TX2, Google Coral, Jetson Nano, Raspberry Pi) • IoT cloud core, Data privacy, Web services • Requirement Analysis • Analytical and quantitative He volunteers for national social service, has a keen interest in calisthenics and athletics workout, promotes a healthy lifestyle and fitness education.