Work as Subject Matter Expert (Radiologist) & Labeler in CogitoTech Company. (From
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Subject Matter Expert (Radiologist) & Labeler at CogitoTech Company. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CogitoTech, Outlier.ai, and Other. Education includes Bachelor of Medicine and Bachelor of Surgery, Guru Gobind Singh Medical College & Hospital, Faridkot (2020) and Doctor of Medicine (Radiology), Government Medical College & Hospital, Patiala (2025). AI-training focus includes data types such as Medical, DICOM, and Image and labeling workflows including Diagnosis, Evaluation, and Rating.
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Worked as a Subject Matter Expert (Radiologist) and labeler for radiology-related AI data projects. Labeled radiological findings and reviewed imaging-related outputs to support model training and dataset curation. Focused on producing accurate, clinically aligned annotations for downstream ML use. • Annotation and review responsibilities as SME • Radiology image data labeling for AI model training • Dataset curation with clinical correlation • Quality focused labeling for training readiness
Provided AI training support by evaluating and validating AI-generated radiology reports. Reviewed outputs for correctness and consistency against radiological expectations. Used evaluation feedback to refine model performance and reporting quality. • Evaluation and validation of AI generated reports • Consistency checking against expected radiology content • Feedback loop for model improvement • Training/assessment focused on report quality
Contributed to pulmonary vessel anatomy annotation as part of a freelance labeling engagement. Produced structured anatomical labels to support downstream computer vision or ML tasks. Focused on accurate vessel labeling aligned with radiology anatomy conventions. • Pulmonary vessels anatomy annotation • Anatomy-focused labeling for training datasets • Radiology-informed annotation consistency • Support for ML model development
Worked on cervical spine pathology annotation for an AI labeling project. Produced pathology-related labels from CT imaging context to support training data preparation. Applied radiology expertise to improve label relevance and clinical interpretability. • C spine pathology annotation • Radiology pathology labeling for training data • Ensured clinically meaningful annotation targets • Supported dataset creation for ML models
Doctor of Medicine (Radiology), Radiology
Bachelor of Medicine and Bachelor of Surgery, Medicine and Surgery
Empaneled Radiologist
Resident Doctor (Radiology)