Skills
Neural Network Design
Medical Image Segmentation
U-Net, nnU-Net
Explainable AI (XAI)
SHAP, Grad-CAM
EfficientNet
Image Preprocessing
MRI, CT, Denoising
Feature Extraction
Dimensionality Reduction
PCA, t-SNE
Multi-modal Analysis
PyTorch
TensorFlow
MONAI
Scikit-learn
OpenCV
Pandas
SciPy
Python
C++
Java
JavaScript
HTML5 & CSS3
GUI Development
PyQt, Tkinter
Signal Processing
ECG, EEG, Filtering
STM32
Embedded Systems
Bioinformatics
Genomics, Microbiome
AI & Deep Learning
Architecting advanced deep learning architectures and end-to-end pipelines for precision medical diagnostics and clinical decision support.
Medical Image Segmentation
U-Net, nnU-Net
Computer Vision & Imaging
Processing multi-modal medical imaging datasets (MRI/CT) to extract high-fidelity clinical biomarkers for diagnostic enhancement.
Frameworks & Tools
Leveraging industry-standard ecosystems for scalable data science, machine learning, and computational bio-signal processing.
MONAI
Software Engineering
Delivering full-stack software solutions and intuitive GUI applications with a focus on modular architecture and user experience.
Biomedical & Embedded
Bridging biological interfaces and digital systems through real-time signal processing and embedded firmware development.