About

Tejas Sarma is an accomplished AI Machine Learning Scientist with a strong background in computer science and a proven track record in the insurance industry. With over 3.5 years of research experience, he has a burning desire to learn new technologies quickly and efficiently. Tejas has extensive experience with a range of cutting-edge technologies, including PyTorch, Keras, AWS, CloudFormation, Terraform, GCP, Kubernetes, Bamboo, Gitlab CI, Human Computer Interaction, Robotics, and Algorithms. He has a deep understanding of AI and ML, and his expertise in Reinforcement Learning and Deep Learning is particularly noteworthy. Tejas has worked as an AI Machine Learning Scientist at Anthem, where he has been instrumental in developing innovative solutions that have helped the company stay ahead of the curve in the insurance industry. Prior to that, he worked as a Graduate Student Researcher at the University of Illinois at Chicago, where he focused on developing an Inverse Reinforcement Learning based Virtual Reality control interface for Baxter Robot and Deep Learning for Vive - Inverse Kinematics computation. He also worked as a Student Researcher at Stanford University as part of the Stanford Scholars Program, where he collaborated on creating short 10-minute talks on influential papers in many areas of computer science, including HCI, crowdsourcing, Computer Vision, and Machine Learning. Tejas holds an M.S. (Thesis Track) in Computer Science and Artificial Intelligence from the University of Illinois and a Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering from the University of Mumbai. He has a strong passion for technology and is always looking for new and innovative ways to leverage AI and ML to solve complex problems. With a relevant experience of 3.79 years, Tejas is an expert in his field and a valuable asset to any organization.