About

Harsh Singh is a highly motivated Senior Software Engineer at HPE with a passion for programming to solve real-life problems. He is a recent graduate of IIT Kharagpur with a Bachelor's degree in Electrical Engineering. With over 3 years of relevant experience, Harsh has honed his skills in computer vision, neural networks, and object detection. Harsh's current focus is on Database internals in an Agile Framework, where he is leveraging his expertise to optimize continuous video IoT data from various edges with computer vision and deep neural networks techniques. He has successfully reduced processing time from 20 minutes to 6 minutes on a sample video using few conditions, and automated continuous dataflow from edge to core with Apache NiFi. Harsh has also containerized the whole application using Docker to isolate the application from the surroundings and tested it over HPE SimpliVity. Prior to his current role, Harsh worked as an Intern at HPE, where he optimized continuous video IoT data using computer vision and deep neural networks techniques. He also studied the performance of various real-time object detection algorithms suitable for the application. Harsh automated continuous dataflow from edge to core with Apache NiFi and containerized the whole application using Docker to isolate the application from the surroundings. He successfully tested the application over HPE SimpliVity. Harsh's educational background includes a Bachelor of Technology (B.Tech.) in Electrical Engineering from IIT Kharagpur, where he gained valuable experience in the field. He also completed his Class 12th and Class 10th from Kendriya Vidyalaya with a C.B.S.E, Science field of study. Harsh's technical skills include computer vision, object detection, neural networks, Docker, and software engineering. He is a dedicated professional who is always eager to learn and grow in his field. Harsh is a valuable asset to any team and is committed to delivering high-quality results.