About

Parth Patel is a talented Machine Learning Engineer currently working at Adobe. He has a Bachelor's degree in Computer Science from Birla Institute of Technology & Science (BITS), Pilani, and is currently pursuing a Master of Science in Computer Science at Georgia Institute of Technology. With 3.35 years of relevant experience in software development, computer networks, and machine learning, Parth is passionate about leveraging Artificial Intelligence to solve real-world problems. As a Research Intern at Adobe's Media and Data Science Research (MDSR) Lab, Parth worked on self-supervised learning for training Generative Adversarial Networks (GANs) to improve latent space semantics and image quality and diversity. His work was accepted at the prestigious Winter Conference on Applications of Computer Vision (WACV) 2021, and he submitted a patent for the same. Parth's experience includes working with technologies such as PyTorch and TensorFlow. Parth is currently a Reviewer at IEEE's Winter Conference on Applications of Computer Vision (WACV) 2021, where he reviewed two research papers related to the applications of GANs. He is also a skilled Machine Learning Engineer with a solid background in AI, Deep Learning, Supervised Learning, Computer Vision, Adversarial Networks, and Data Science. Parth is eager to apply his knowledge and skills in the field of AI and machine learning to solve real-world problems. He is passionate about the use of Artificial Intelligence for everyday-life applications. Parth's LinkedIn profile provides more information about him, and his website offers additional insights into his work. If you are interested in getting a referral for a role at Adobe, please mention it in your connection request.