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@nirmanbharti
AI scientist specializing in 3D computer vision and medical imaging research.
I am an AI scientist focused on 3D computer vision, diffusion models, and medical imaging R&D, with experience deploying clinical-grade models and leading research that achieved regulatory milestones. I have developed high-performing detection, classification, and segmentation pipelines using ViT, UNet variants, DETR, RetinaNet, and diffusion-based synthesis.
I have practical experience in model deployment and optimization (TensorRT, Triton, quantization), foundation model pretraining (MAE, SimCLR, DINOv3), and end-to-end ML workflows across clinical projects, internships, and production roles, including contributions that led to FDA clearance and a filed patent.
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Work history, roles, and key accomplishments
Qure.ai
Jul 2024 - Present (1 year 4 months)
Leading R&D on 3D medical imaging and diffusion models, developing CT foundation encoders and clinical classifiers that improved detection/segmentation AUC/DSC metrics and reduced false positives across multiple tasks.
Qure.ai
Jan 2024 - Jun 2024 (5 months)
Conducted R&D on medical imaging workflows including 3D gaze detection, MRI series classification (0.99 precision/recall), and infarct segmentation, improving DSC by 0.23 and reducing false positives by 36%.
Degrees, certifications, and relevant coursework
Bachelor of Engineering (Hons), Computer Science
2019 - 2024
Grade: CGPA: 8.56
Completed dual programs at BITS Goa, earning a B.E. (Hons) in Computer Science and a Masters in Physics with a CGPA of 8.56.
Master of Science, Physics
2019 - 2024
Grade: CGPA: 8.56
Completed dual programs at BITS Goa, earning a Masters in Physics with a CGPA of 8.56 alongside an undergraduate engineering degree.
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