About

Aviral Tyagi is a highly motivated and skilled student at Birla Institute of Technology and Science, Pilani, with a passion for software engineering, machine learning, and artificial intelligence. As a current SWE at rupifi, Aviral is gaining valuable experience in the industry, and his relevant experience of 0.78 years speaks volumes about his dedication and commitment to his work. Aviral's education history is impressive, having pursued a Bachelor's degree in Physics and Electrical Engineering from Birla Institute of Technology and Science, Pilani, with an expected graduation year of 2023. Prior to this, he attended Father Agnel School from 2003 to 2017. Aviral has a strong tech stack, including software engineering, parts-of-speech, machine learning, artificial intelligence, and research scientist skills. He has also worked as a Research and ML Intern at Maritime Research Center, where he was involved in a project titled "Shipping Radiated Noise Estimation Using AI." During his time there, he performed model simulations of the Wittekind Noise Model and applied supervised machine learning regression algorithms like the random forest, gradient boosting tree, and decision tree. He achieved an accuracy of 87%, considering predicted noise value difference from the original is 5db or less. With his exceptional skills and experience, Aviral is a valuable asset to any team he joins. He is a quick learner, a problem-solver, and an excellent communicator, making him an ideal candidate for any software engineering or machine learning role.