Bhavya Shah

Bhavya Minesh Shah is a graduate student at ASU. He is admitted to the MS in Robotics and Autonomous Systems (Artificial Intelligence) program in Fall 2024. His major falls under the School of Computing and Augmented Intelligence (SCAI), which is affiliated with the Ira A. 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 two projects. The first project under him was Anomaly/Defect Detection in LPG Gas Cylinders, for which he created a pipeline using Computer Vision and Deep Learning to detect the weight, expiry, and defects in LPG cylinders. The deployment setup was done in a Zone 1 environment, which totally eliminated human interference and automated the process. The second project that he was an integral part of was the Perception and Path Planning module of an 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 that was faster and more optimized to the problem statement. He also collaborated with many of his colleagues and interns under him for some of the projects mentioned.

In May 2025, Bhavya secured a paid internship at the Translational Genomics Research Institute (TGen) as a Helios Scholar (AI Researcher). This prestigious internship allows him to apply his deep learning expertise to impactful biomedical research and translational medicine at the intersection of AI and genomics. As part of his research, he worked on AI Tumor Boards which are a special meet up of many specialists to solve a case. Physical tumor boards are costly, time-consuming, lengthy and occasional. But this research can help quicken the process, reduce costs and scale to a lot more cases which physical tumor boards cannot.

Before joining Accurate Industrial Controls Pvt. Ltd., he interned as a Machine Learning Intern at Swasthya.ai, an oncology startup in Mumbai, India, from September 2022 to March 2023. There he learned various skills related to Natural Language Processing, including LLMs and Attention Mechanisms. His tasks involved extracting meaningful entities from medical notes and using them to train models like BERT.

The first place that 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 undertook several projects and completed many courses across domains such as Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Image Processing, Web Development, Operating Systems, and Networking. 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 has participated in numerous extracurricular activities like trekking, hiking, and swimming. He has a keen interest in sports such as cricket, table tennis, badminton, and snooker. He trekked the Brahmatal summit (12,800+ ft) in January 2022 and the Sandakphu and Falut summit (11,800+ ft) in January 2023. He also played at the district level and was part of his school cricket team.