About

Khilan Ravani is a passionate learner and a skilled MTS at Adobe with 3.11 years of relevant experience in the domains of Deep/Reinforcement learning, Vision, and optimization techniques. He is a BTech CSE graduate from the Indian Institute of Information Technology (IIIT) Vadodara. Khilan's research interests and experience include the domains of Deep/Reinforcement learning, Vision, and optimization techniques. He has a strong skill set in Vision, DL, ROS, and PyTorch. He is proficient in programming languages such as C++, Python, Matlab, and Haskell. Khilan has worked with Adobe as a Product Intern and is currently working as a Member Of Technical Staff. He has also worked as a Research Intern at the Indian Institute of Science, where he worked on the project of Asteroid landing using deep learning. He created a labeled data set of potential landing sites for a spacecraft on asteroids and trained a deep learning model to identify potential landing sites for unseen surfaces in real-time. He also worked on the guidance part for successful soft landing at the desired site. Khilan has a Bachelor's Degree in Computer Science from IIIT Vadodara and completed his Senior Secondary High School education from The New Tulip International School, where he studied Physics, Maths, and Chemistry. Khilan's tech stack includes Software Engineering, Research Science, Reinforcement Learning, Deep Learning, Python, and PyTorch. He is a passionate learner and always looks forward to learning new things.