About

Vedant Raval is a highly motivated MTS at Adobe with a passion for software engineering and research. He is a recent graduate of the Indian Institute of Technology, Delhi, where he earned his Bachelor of Technology in Computer Science. Additionally, he has completed a research internship at Adobe, where he developed a recommender system for Template-based Document style transfer using unpaired image translation GANs and NLP based architectures. This project has resulted in a patent application currently under process. Vedant's experience also includes serving as a Teaching Assistant for the course Data Structures & Algorithms (COL 106) Fall 2020 under the supervision of Prof. Rahul Garg, Prof. Rijurekha Sen, and Prof. Yogish Sabharwal. In this role, he was responsible for assisting 400+ students and was involved with creating assignments and grading quizzes, home-works, exams, etc. Vedant's technical skills include expertise in software engineering, research science, NLP, Flask, and web development. He is a highly driven individual with a strong work ethic and the ability to work well in a team. Vedant's experience in both academia and industry has given him a unique perspective on the field of computer science, and he is always looking for new challenges and opportunities to learn. Overall, Vedant Raval is a talented and dedicated professional with 2.20 years of relevant experience in the field. His skills, experience, and passion for computer science make him an asset to any team.