About

Shivansh Mundra is a highly motivated and talented individual who is passionate about Artificial Intelligence and its applications. He is currently working as an Applied Research Engineer at LinkedIn, where he applies his expertise in Machine Learning to solve problems related to Content Quality. Shivansh has a Bachelor's degree in Mechanical Engineering from the Indian Institute of Technology, Kharagpur, and is currently in his fifth year of undergraduate studies. Shivansh has a strong background in Deep Learning, Reinforcement Learning, and Adversarial Networks, and has worked on numerous projects related to these areas. During his internship at Silo.ai, he worked on generating training data using Generative Adversarial Networks (GANs) to improve the robustness of machine learning models. He achieved an impressive 71% accuracy on data that had never been analyzed before in image-to-image translation. He also developed an end-to-end pipeline for changing the environment of an image using Generative Models, such as transforming day images to evening images. The generated data was used to improve the robustness and in-variance against the surroundings of Object Tracking/Segmentation models. Currently, he is working on integrating the above pipeline in a web-based tool to provide customers with the ability to change video environments without losing content. Shivansh is a Research Scientist with 1.87 years of relevant experience in the field of AI. He is deeply interested in applying Deep Learning and Reinforcement Learning techniques to solve problems in society and innovate products with AI. He has a strong technical skill set, including expertise in Python, TensorFlow, Keras, PyTorch, and SQL. He is a quick learner, highly adaptable, and enjoys working in a team environment. Overall, Shivansh Mundra is a highly skilled and motivated individual with a strong passion for AI and its applications. He has a proven track record of success and is always eager to take on new challenges and learn new skills.