Korea National University of Transportation

Masters in Artificial Intelligence. Worked on Brain Tumor segmentation, Machine Unlearning and Hessian based gradient modulation.

HITEC University

Bachelors in Electrical Engineering. Worked on automation using deep learning and embedded systems.

AI Research assistant - Korea national university of transportation

• Developed a Feature enhancement module to improve the visibility of Non-Enhancing tumor in brain tumor MRI images.
• Worked on dynamic model pruning mechanism, that dynamically selects and prunes certain enurons during the training process.
• Worked on machine unlearning mechanism to dynamically select and unlearn a subset of the model to remove a certain small group of information from deep learning models.

Junior AI research engineer - HealthHub

• Worked on the development of various deep learning models for Liver-Tumor segmentation.
• Developed neural networks for Thyroid nodule segmentation and spine segmentation.
• Performed experimentation on chest x-ray classification with a goal to reduce false negatives close to zero.
• Optimized the code for heat path calculation in composite materials using 3D scans to lower execution time.

Computer vision external consultant - Taibah University

• Developed a road segmentation mechanism to generate complex and precise segmentation masks even in challenging environments on high resolution remote sensing images.
• Developed a deep learning mechanism to segment small objects in remote sensing images.