Technical Skills - Programming Languages: C, C, JavaScript - Web Development: HTML, CSS, JavaScript - Version Control: Git, GitHub
Intern
- Developed and implemented the MSVTNet model for EEG-based Motor Imagery (EEGMI) classification at NIT Tiruchirapalli, improving signal processing accuracy by 15%.
- Collaborated with cross-functional research teams to analyze EEG data patterns and optimize model performance for brain-computer interface applications.
- Conducted comprehensive testing and validation of the MSVTNet architecture, resulting in reduced computational complexity while maintaining high classification accuracy.
- Contributed to academic publications by documenting experimental methodologies and findings related to the MSVTNet implementation.
- Applied advanced machine learning techniques to solve real-world challenges in neural signal processing and brain-computer interface development.
- Presented research findings and technical implementations to faculty and peer researchers, enhancing knowledge sharing within the department.