Bhavya Shah

Bhavya Minesh Shah is a graduate student at ASU. He is admitted to MS in Robotics and Autonomous Systems (Artificial Intelligence) program in the Fall 2024. His major falls under the School of Computing and Augmented Intelligence (SCAI) which is affiliated to Ira Fulton Schools of Engineering.

Before being admitted to Arizona State University, he was working as a Deep Learning Engineer in Pune, India at Accurate Industrial Controls Pvt Ltd from August 2023 to May 2024. During his term there, he worked majorly on 2 projects. The first project under him was Anomaly/Defect Detection in LPG Gas Cylinders for which he created a pipeline which used Computer Vision and Deep Learning to detect the weight, expiry and defects in a LPG cylinder. The deployment setup was done in a Zone 1 environment which totally eliminated the human interference and automated the process. The second project that he was an integral part of was the Perception and Path Planning module of Autonomous boat project which was issued as a challenge by the Indian Navy. For the same, he introduced a new variation of an existing path planning algorithm which was faster and more optimized to the problem statement. He also collaborated with many of his colleges and interns under him for some of the projects mentioned.

Before joining Accurate Industrial Controls Pvt Ltd, he interned as Machine Learning Intern at Swasthya.ai, an oncology startup in Mumbai, India from September 2022 to March 2023. There he learnt various skills relating to Natural Language processing including LLMs and Attention Mechanism. The tasks he accomplished were extracting meaningful entities from medical notes and using them to train models like BERT.

The first place which fired up his curiosity regarding Artificial Intelligence and Robotics was during his undergraduate studies. He received his Bachelor in Technology degree from Vellore Institute of Technology, Vellore in Computer Science and Engineering in 2023. He graduated with a CGPA of 3.12/4. Here he did a number of projects and took many courses explaining various domains like Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Image Processing, Web Development, Operating Systems, Networking, etc. During his time here, he published a research paper titled "Demonstrated Deep Learning Techniques for the Resolution of CAPTCHA images" in the International Research Journal of Engineering and Technology (IRJET). For his final year Capstone Project, he introduced a novel technique for object detection using semantic segmentation masks which incorporated principles of Computer Vision and Deep Learning.

Apart from academia, he participated in a number of extracurricular activities like trekking, hiking, swimming. He has an interest in sports like cricket, table tennis, badminton, snooker, etc. He trekked Brahmatal summit (12800+ ft) in January 2022 and Sandakphu and Falut summit (11800+ ft) in January 2023. He played at the district level and was part of the school cricket team.