Services
🎓 Academic Service
Peer Reviewer · NED University Journal of Research
Reviewed manuscripts in artificial intelligence, computer vision, and medical image analysis; provided structured evaluations assessing methodological rigor, experimental validity, and scientific contribution.
Open-Source Contributor · Project MONAI (NVIDIA)
Resolved a documentation defect in the PerceptualLoss module (Issue #8592) of Project MONAI, an NVIDIA-supported medical imaging deep learning framework. Contribution improves developer usability and research reproducibility for the broader community.
🛠️ Research Software
MedXAI — Open-Source Python Toolkit for Medical Imaging AI
Independently developed and maintain MedXAI, a lightweight open-source Python toolkit for reproducible medical imaging AI research, distributed via PyPI and GitHub.
Provides modular utilities covering segmentation metrics, custom loss functions, image preprocessing, radiomics feature extraction, and Explainable AI (GradCAM) — built for PyTorch-based research workflows.
Provides modular utilities covering segmentation metrics, custom loss functions, image preprocessing, radiomics feature extraction, and Explainable AI (GradCAM) — built for PyTorch-based research workflows.
🏆 Competitive Programming
I have extensive experience in algorithms and data structures through active participation in national onsite contests and international online rounds.
📌 Contests Participated
Detailed contest participation records will be updated soon.
