About

Dinesh Elavazhagan is a highly skilled Machine Learning Engineer with over 7 years of experience in the field. He has a strong background in computer vision, image processing, and deep learning frameworks such as Keras, TensorFlow, and PyTorch. Dinesh has worked on various projects involving object detection, face detection, and vehicle tracking. He also has experience in data analytics, including organization-based predictive and derived analysis and visualization. Currently, Dinesh works at Pixuate as a Machine Learning Engineer. He is also working as a freelancer for the TN police department on an automatic violation capturing system. In his previous role at AES Technologies, Dinesh worked as a Machine Learning Research Engineer, where he was responsible for research and development of products based on computer vision using machine learning. His work involved object detection, face detection, vehicle tracking, and data analytics, such as team performance, individual contribution on each project, and resource management based on product/service. Dinesh holds a Bachelor's degree in Information Technology from Dr. MCET, where he graduated in 2018. He has a diverse tech stack, including ML, AI, CNN, SQL, Big Data, normalization, OpenCV, Docker, and neural networks. In summary, Dinesh is a highly skilled and experienced Machine Learning Engineer with expertise in computer vision, image processing, and deep learning frameworks. He has a proven track record of delivering successful projects and is always looking to expand his knowledge in the field.