Open to opportunities

RIMITA DEY

@rimitadey

Message

Computer Vision Engineer specializing in medical imaging and deep learning.

India

Message

What I'm looking for

I seek roles applying deep learning to medical imaging in collaborative, research-driven teams where I can build production-ready, interpretable models, advance clinical outcomes, and grow in research or engineering responsibility.

I am a Computer Vision Engineer with an M.Tech. in Biomedical Engineering focused on applying deep learning to medical images, from preprocessing DICOM/NIfTI to deploying interpretable models such as U-Net, Faster R-CNN and GANs.

At Sungkyunkwan University I trained and fine-tuned CNNs (ResNet-18, custom U-Net, attention Dual-Branch U-Net) producing high AUC and segmentation metrics, built end-to-end pipelines, used CUDA/GPU and Hugging Face Accelerate, and versioned experiments with GitHub.

I bring strong evaluation discipline (AUC, F1, Dice, mAP), hands-on experience with PyTorch/TensorFlow/Keras, and a proven record in medical imaging projects and research-ready visualizations aimed at stakeholders and publication.

Experience

Work history, roles, and key accomplishments

Current

Computer Vision Engineer

Current

Sungkyunkwan University

Jan 2022 - Present (3 years 9 months)

Trained and fine-tuned CNNs and U-Net variants for medical imaging tasks, achieving a macro-ROC AUC of 0.979 on OCT classification and IoU 0.703 for brain-tumor segmentation; produced publication-ready Grad-CAM visualizations and performance reports.

Python PyTorch TensorFlow U Net ResNet 18 Grad CAM Medical Imaging ResNet18

Graduate Researcher

Indian Institute of Engineering Science & Technology

Jan 2020 - Jan 2022 (2 years)

Developed 1D CNN for ECG arrhythmia (98.4% accuracy) and a two-stage X-ray pipeline combining classification and Faster R-CNN detection, implementing robust preprocessing, stratified sampling, and evaluation metrics.

1D CNN ResNet 50 Tf.Data ECG Cross Validation Metrics ResNet50

Undergraduate Researcher

West Bengal University of Technology

Jan 2016 - Jan 2020 (4 years)

Evaluated computer vision models using AUC, F1, and PR/ROC, produced Grad-CAM heatmaps and confusion matrices, and presented findings on AI applications in healthcare.

Model Evaluation Grad CAM Confusion Matrix Presentation Matlab Python OpenCV

Education

Degrees, certifications, and relevant coursework

Indian Institute of Engineering Science and Technology, Shibpur

Master of Technology, Biomedical Engineering

2020 - 2022

Activities and societies: Graduate projects on ECG arrhythmia (MIT-BIH), pneumonia X-ray classification and detection, DICOM/NIfTI data pipelines.

Completed M.Tech. in Biomedical Engineering with projects on medical image analysis, including MRI/ultrasound segmentation and ECG arrhythmia classification using deep learning.

West Bengal University of Technology

Bachelor of Technology, Electrical Engineering

2016 - 2020

Activities and societies: Undergraduate projects involving CV model evaluation (AUC, F1, PR/ROC), confusion matrices, and Grad-CAM heatmaps; talks on AI in healthcare.

Completed B.Tech. in Electrical Engineering with undergraduate projects focused on computer vision evaluation metrics, Grad-CAM visualizations, and presentations on AI in healthcare.