Junior Data Engineer, Medical Imaging Data Platform – HCLTech
Segmentation
As a Junior Data Engineer at HCLTech, I automated data workflows to prepare regulated medical imaging inputs for downstream ML experimentation. I built DICOM preprocessing and retrieval pipelines to ensure engineers had consistent, reliable data for training and validation. I assisted with U-Net-style nodule-detection experiments, linking raw scan preparation to model development and evaluation in a healthcare setting. • Automated preprocessing of large-scale medical imaging datasets
• Ensured consistency in data labeling for ML training and validation
• Supported nodule-detection segmentation tasks with U-Net architectures
• Maintained transformation routines for high-quality clinical data
As a Junior Data Engineer at HCLTech, I automated data workflows to prepare regulated medical imaging inputs for downstream ML experimentation. I built DICOM preprocessing and retrieval pipelines to ensure engineers had consistent, reliable data for training and validation. I assisted with U-Net-style nodule-detection experiments, linking raw scan preparation to model development and evaluation in a healthcare setting. • Automated preprocessing of large-scale medical imaging datasets • Ensured consistency in data labeling for ML training and validation • Supported nodule-detection segmentation tasks with U-Net architectures • Maintained transformation routines for high-quality clinical data
2015 - 2018