About

Jay Dulera is a Software Engineer I at Forcepoint with 2.27 years of relevant experience in the field of AI, Computer Vision, and Machine Learning. Currently, he is working as a part of the Research Team at the Center for Visual Information Technology (CVIT), International Institute of Information Technology (IIIT) Hyderabad, for the 5th Summer School on AI for Computer Vision and Machine Learning. His work involves dealing with the basics of machine learning and its application in areas such as computer vision, image processing, and biometrics. He also deals with the latest advancements in machine learning. Jay has previously worked as an Interactive Student, Deep Learning at Neuromatch Academy, where he focused on research in Deep Learning, specifically Reinforcement Learning, and Computational Neuroscience. He has also worked as an Artificial Intelligence Engineer at Edgeneural.ai, where he designed, implemented, and optimized neural networks and computer vision models to speed up inference after deployment. He has also worked on the implementation of AI pipelines and EDGE AI model optimizations. Jay has also converted Tensorflow and Pytorch trained models to ONNX for further optimization using TensorRT to increase throughput. He has built end-to-end segmentation training pipelines for models like MaskRCNN, UNET, etc. and implemented a centroid tracking inference pipeline for real-time object tracking with YOLOv3 as a base detection model. Jay holds a Bachelor of Engineering degree in Computer Engineering from Vivekanand Education Society's Institute of Technology. He has a deep insight into Computer Vision with Image detection, recognition, classification, and segmentation on major projects of CVIT with faculty and researchers. His tech stack includes AI, Computer Vision, ML, Software Engineer, Deep Learning, Image Processing, Reinforcement Learning, Research Scientist, Tensorflow, Neural Networks, and Pytorch.