About

Bhavya Babuta is a highly skilled Software Engineer with expertise in Machine Learning, Deep Learning, and Cascade Classifiers. Currently serving as a Research Assistant at the Centre of Neuroscience at the Indian Institute of Science, Bhavya has a proven track record of delivering exceptional results in various projects related to Eye, Face, Glint, Pupil, Node Detection, and Facial Landmarking. He is well-versed in Model Evaluation using IOU, Hit Rates, and False Alarms, and is proficient in using YOLO, Cascade of Classifiers, Python, DeepLabCut, OpenCV, and Tensorflow. With a relevant experience of 4.78 years, Bhavya has previously worked as a Software Engineer at Mobiux Labs and Honey Badger Labs. At Mobiux, he was responsible for Server Orchestration, Online Coding Platform, Proctoring Application, and an IoT Project. At Honey Badger Labs, he developed a Health Care Management Portal using ReactJS for Hill-Rom. He has also worked on various other projects related to AWS, Terraform, ECS, Redis, Docker, Pandas, SQL, MongoDB, Seaborn, AWS ECR, Scikit, dotNET, Neural Networks, MySQL, Microservices, and Integration. Bhavya is a Bachelor’s Degree holder in Information Technology from Dayananda Sagar University, Bangalore. He has completed his schooling from Modern School, Barakhamba Road, and St. George's College. Bhavya is a quick learner and a team player, with excellent communication and interpersonal skills. He is passionate about his work and is always ready to take up new challenges. In his free time, he enjoys reading books and playing cricket.