User:Ojaschaturvedi

Ojas Chaturvedi is an AI researcher and computer science student at Purdue University, pursuing dual majors in Computer Science and Data Science with a minor in Mathematics. His work spans machine learning, computer vision, and natural language processing, with a focus on building impactful, real-world systems. As the Team Lead at Purdue’s AI for Musicians Lab, Ojas has led innovations in automatic music transcription—enhancing Google’s MT3 model, developing a MIREX-adopted evaluation framework, and organizing a nationwide challenge with IEEE. He also leads robotics AI efforts at Astrobotics, where he collaborates with NASA and Vast to design intelligent, vision-based systems for satellite servicing in space.

Ojas brings industry experience from Qualcomm, where he optimized computer vision models for edge deployment, and from Arizona State University, where he fine-tuned LLMs to better interpret ambiguous English queries using standardized test datasets. He’s also a core developer for Huddle, a mobile startup app supporting 8,500+ college students through housing, event aggregation, and personalized academic tools. With technical expertise in Python, PyTorch, OpenCV, and cloud DevOps, Ojas is driven by a passion to bridge cutting-edge AI with human-centered applications in education, music, and aerospace.