I specialize in AI/ML development and research, with expertise in deep learning, computer vision, and natural language processing. My technical stack spans from cutting-edge ML frameworks to full-stack development tools.

• Previously worked on advancing medical image analysis through deep learning, with work accepted at MIDL 2024 on lupus nephritis classification and Nature's Scientific Data on glioma diagnosis.
• Worked on breast cancer subtype classification using multiple-instance learning with self-supervised feature extraction for enhanced model interpretability.
• Specialize in developing robust deep learning models for medical image analysis, emotion recognition, and interdisciplinary AI applications that bridge multiple data modalities.