About

Hrishikesh Ps is an experienced Machine Learning Engineer at Founding Minds Inc. with a passion for research in computer vision and deep learning. With over 5 years of experience in the field, Hrishikesh has developed expertise in Python and deep learning frameworks like TensorFlow, Keras, and PyTorch. He has worked on both low-level and high-level vision tasks, including image super resolution, deblurring, demoireing, scene relighting, synthetic bokeh rendering, detection using Yolov5, Yolov3, and Retina-Net, and various classification tasks. Hrishikesh has also worked on network architectures such as semantic segmentation networks like U-Net and autoencoders, as well as Generative Adversarial Networks (GANs). He has participated in many competitions under conferences like CVPR-NTIRE, ECCV-AIM, and ECCV RLQ-TOD workshops, and has achieved top positions in many of them. At Founding Minds Inc., Hrishikesh works on various computer vision tasks, including detection, recognition, and tracking. He is responsible for the development and deployment of custom object detection models, as well as retraining and transfer learning in object detection models like Yolov3, Yolov5, and RetinaNet. He has also developed problem-specific object detection datasets and has worked on a full ML project life cycle from dataset preparation to model development and training, validation and testing, and final integration to the application backend. Hrishikesh's past experience includes working as a Machine Learning Intern at Founding Minds Inc., where he was responsible for developing and deploying custom object detection models, retraining and transfer learning in object detection models, and developing problem-specific object detection datasets. He has also worked as an intern at Change Can Change Climate Change (C5), where he was part of the PR team under the "Udhyanam" project. Hrishikesh holds a Bachelor of Technology degree in Electrical and Electronics Engineering from Government Engineering College, Thrissur, and has a strong tech stack that includes ML, object detection, computer vision, research scientist, deep learning, integration, backend, Keras, GAN, Python, TensorFlow, and PyTorch.