About

Prabhat Kumar Sahu is an experienced Software Development Engineer with a demonstrated history of working in a fast-paced environment. With a passion for constantly learning and exploring new technologies and best practices, he is skilled in Python, Machine Learning, Deep Learning Computer Vision, Django, GIT, and PostgreSQL. Prabhat believes in sharing valuable knowledge and insights in fostering mutual growth and success, helping to be inclusive in every aspect of the organization. He is comfortable in picking up new tools, technologies, and languages that would help him in solving a problem. Currently working as a Machine Learning Engineer at deepedge, Prabhat has previously worked at frolic edutainment as a Machine Learning Engineer. His primary focus was on developing efficient algorithms for large-scale video processing, which included everything from research to deployment in production. He has worked with a variety of frameworks depending on the ease of integration and development within the pipeline. Prabhat has also worked as a Summer Intern at the Central University of Rajasthan, where he worked on integrating an adaptive recommendation system with MOOC, which can adapt the needs of the participants/learners and provide recommendations personalized to them. Prabhat's primary software stack includes OS - Linux (Ubuntu 18.04 LTS), DL Frameworks - Tensorflow, PyTorch, Keras, Languages - Python, CV Packages - OpenCV, FFMPEG (GPU accelerated video conversion), GPU Inference and Optimization tools - CUDA 9.0/10.0, TensorRT 5.0, Cloud - AWS, GCP, Database - MongoDB, and Version Control - Github. Prabhat has an Engineer's degree in Computer Science Engineering from Sambalpur University Institute of Information Technology. He has relevant experience of 4.03 years and is a Research Scientist with expertise in ML, Software Engineering, AWS, Deep Learning, Computer Vision, Object Detection, Image Processing, Neural Networks, and Integration.