Experience
Selected Researchs
Alzheimer’s Detection Using EEG Data with MOMENT Model
Project Date: 2024
Developed a CNN-Transformer model to detect Alzheimer’s patterns from EEG data.
This project focuses on leveraging a CNN-Transformer architecture, specifically the MOMENT model, for high-accuracy detection of Alzheimer’s disease indicators within EEG data. The model enhances feature extraction from key EEG channels, tackling noise in the signal to improve reliability and clinical applicability. The project uses Python for implementation and integrates deep learning techniques, including Convolutional Neural Networks and Transformers, to handle complex EEG patterns effectively.
Backend Development Internship at ZLAB Research and Development Lab
Experience Date: June 2023 – Nov 2023
Contributed to AI-driven backend solutions using Django, Docker, and various backend technologies.
During my internship at ZLAB, I developed backend solutions for AI-driven applications, achieving a 30% improvement in processing speed. I worked closely with a team to integrate AI functionalities, focusing on enhancing overall system performance and user experience. This role required extensive use of Django, REST Framework, Docker, and databases, along with Redis for improved data management and Linux for server operations.