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radwahashiesh

Radwa

@radwahashiesh

Computer Vision Medical AI Engineer Deep Learning Specialist

Egipto
Árabe, Inglés
Parte de la información aparece en idioma inglés.
Sobre mí
Machine Learning Engineer specializing in Computer Vision, Deep Learning, and Medical Image Analysis. I have hands-on experience building advanced AI systems including medical image segmentation using Transformer-based architectures, hyperspectral image classification, and machine learning optimization models. My expertise includes Computer Vision (Segmentation, Classification, Detection) Deep Learning model development (PyTorch / TensorFlow) Data preprocessing & feature engineering Model optimization and performance improvement I have successfully completed 40+ projects with 5-star feedback ... Lee más

Habilidades

r
radwahashiesh
Radwa
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Visión Artificial
I will build a medical image segmentation model using deep learning
DeUSD 90 / proyectoMás información

Porfolio

Experiencia laboral

Upwork

Computer Vision Engineer | Medical Imaging Deep Learning Built cross-modal segmentation using Swin Transformer for multi-modality generalization. Objectives: Generalization across modalities, improving imbalanced segmentation, stable efficient training. Solution: Custom SwinSegAblationCustom with Hybrid Cross Attention, FFT Dynamic Frequency Analyzer, Multi-Head Attention in modular ablation-ready design. Training: BCEWithLogits + Dice, AdamW lr 1e-4 wd 1e-5, cosine annealing 25 epochs, AMP, gradient clipping. Data: 80/20 split, 224×224 resizing, flips/rotations/brightness/contrast/saturation augmentations. Metrics: Dice, IoU, Precision, Recall, Cohen’s Kappa (accuracy not used due to imbalance). Improvements: Stabilized FFT (float32, no autocast), safer GPU ops, gradient clipping, stronger augmentation. Results: Improved Dice/IoU with stable convergence. Innovation: Combines spatial + frequency learning with modular experimentation and efficient training. Impact: Scalable cross-modal segmentation for research and clinical use. Stack: Python, PyTorch, Swin Transformer | 5.0 client rating.

Upwork • Freelance

Dec 2021 - Dec 2025 • 4 yrs

skilled at machine learning and deep learning specialization, build model with different algorithms and visualize the results