Skills
AI & Deep Learning

Architecting advanced deep learning architectures and end-to-end pipelines for precision medical diagnostics and clinical decision support.

Neural Network Design
Medical Image Segmentation U-Net, nnU-Net
Explainable AI (XAI) SHAP, Grad-CAM
EfficientNet
Computer Vision & Imaging

Processing multi-modal medical imaging datasets (MRI/CT) to extract high-fidelity clinical biomarkers for diagnostic enhancement.

Image Preprocessing MRI, CT, Denoising
Feature Extraction
Dimensionality Reduction PCA, t-SNE
Multi-modal Analysis
Frameworks & Tools

Leveraging industry-standard ecosystems for scalable data science, machine learning, and computational bio-signal processing.

PyTorch
TensorFlow
MONAI
Scikit-learn
OpenCV
Pandas
SciPy
Software Engineering

Delivering full-stack software solutions and intuitive GUI applications with a focus on modular architecture and user experience.

Python
C++
Java
JavaScript
HTML5 & CSS3
GUI Development PyQt, Tkinter
Biomedical & Embedded

Bridging biological interfaces and digital systems through real-time signal processing and embedded firmware development.

Signal Processing ECG, EEG, Filtering
STM32
Embedded Systems
Bioinformatics Genomics, Microbiome