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Harsh Vavaiya
Deep Learning Engineer | Computer Vision
About
Harsh Vavaiya is a highly skilled Deep Learning Engineer with over 4 years of relevant experience in the field of Computer Vision, Machine Learning, and Artificial Intelligence algorithms. He has a strong understanding of Convolutional Neural Nets (CNN), Deep Neural Nets (DNN), Artificial Neural Networks, Natural Language Processing (NLP), Generative Adversarial Networks (GAN), and Recurrent Neural Networks (RNN). Harsh has worked with various frameworks and libraries such as Tensorflow, Pandas, Pytorch, Keras, OpenCV, spacy, and other dependent tools in the AI field. Currently, he is working as a Software Engineer at Amenity Technologies, where he is responsible for developing and implementing deep learning models for various projects. Previously, Harsh has worked with Geeky Bee AI Private Limited as a Software Developer, where he gained extensive experience in deep learning, machine learning, and artificial intelligence. He has also worked as a Deep Learning Intern at Techno Samarthyam LLP. Harsh holds a degree in Machine Learning from Stanford University and a Bachelor of Engineering in Electrical, Electronics, and Communications Engineering from V.V.P. Engineering College, Rajkot 047. With a strong TechStack in Deep Learning, Software Engineering, Computer Vision, NLP, Neural Networks, ML, Keras, AI, CNN, RNN, GAN, OpenCV, Tensorflow, Pandas, and Pytorch, Harsh is a highly sought-after professional in the field of Artificial Intelligence. He is a self-motivated individual who is always eager to learn and adapt to new technologies and challenges.
Education Overview
• stanford university
• v.v.p. engineering college rajkot 047
Companies Overview
• amenity technologies
• geeky bee ai private limited an artificial intelligence company
• techno samarthyam llp
• v.v.p. engineering college rajkot 047
Experience Overview
5.6 Years
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