I will implement machine learning research projects

I am a AI Research Engineer specializing in biomedical signal processing, deep learning, and graph-based machine learning for healthcare applications. My work focuses on developing robust and reproducible AI solutions for biomedical signals, particularly EEG-based disease diagnosis, using modern deep learning architectures and rigorous evaluation protocols.

My expertise includes designing end-to-end machine learning pipelinesfrom preprocessing raw physiological signals to training, evaluating, and optimizing state-of-the-art deep learning models.

### Areas of Expertise

• Biomedical signal processing (EEG, time-series) using Python
• Deep Learning with PyTorch and TensorFlow
• Modern deep learning architectures
• Graph Neural Networks (GNNs) and Graph Transformers
• Explainable AI (XAI) and model interpretation
• Research implementation and paper reproduction
• Statistical testing

### I Can Help You With

• Implementing research papers
• Developing custom deep learning models
• Building complete preprocessing pipelines
• Designing evaluation protocols
• Debugging and improving existing AI models
• Creating reproducible research code and experiments