A*STAR,Singapore

Bioinformatics Institute (BII), aims to uncover the biomolecular mechanisms behind biomedical phenomena by developing advanced computational methods and leveraging a secure data hub for AI/ML-driven integration of diverse biological and clinical data. Their research focuses on areas such as infectious diseases, computational toxicology, precision medicine, cancer research, drug discovery, and natural product exploration.

• Conducted pioneering research to revolutionize quick-scan MRI technology, achieving significant enhancements in image contrast and quality without extending scan duration, pushing the boundaries of medical imaging innovation.
• Designed and implemented an advanced deep learning model to classify Sarcopenia subtypes in Singapore's aging population, achieving an 8% improvement in IMAT classification accuracy compared to prior research, setting a new benchmark in geriatric healthcare analytics.

Vel Tech University

Vel Tech BCI Lab, is an environment designed to conduct the nobel research related to Brain activities and its interaction to computer.

• Captured Alpha, Beta, and Gamma brain signals using the 10-20 electrode system and successfully utilized these signals to control the movement of bionic hands across 4 degrees of freedom (DOFs) through microcontroller integration.

B.Tech in Biomedical Engineering

GPA:9.41 out of 10 (Gold Medalist).

Higher Secondary School

GPA:3.67 out of 4 (Karnali Provience second topper).