Razieh Faghihpirayesh

About Razieh Faghihpirayesh

I am a PhD candidate in Electrical and Computer Engineering with over 5 years of experience in AI, deep learning, and data science. My focus is on developing machine learning models and data-driven solutions to solve complex problems in healthcare. I\'ve collaborated with leading institutions like Siemens Healthineers and Boston Children\'s Hospital to create innovative solutions that enhance diagnostic accuracy and patient care. My expertise includes medical imaging, longitudinal data analysis, and advanced deep learning techniques such as CNNs, RNNs, Transformers, GANs, VAEs, and self-supervised learning. My goal is to transform cutting-edge research into practical applications that make a real-world impact. I am currently seeking opportunities in AI, deep learning, machine learning engineering, or data science where I can apply my skills to create meaningful contributions. If you\'re interested in collaborating or learning more about my work, please feel free to message me here on LinkedIn or email me at r••••••••@gmail.com. Skills: Programming Languages • Python, MATLAB, R, C/C++, SQL Libraries and Frameworks • PyTorch, TensorFlow, Keras, Scikit-learn, Hugging Face • NumPy, SciPy, Pandas, OpenCV, MONAI, TorchIO • Matplotlib, Seaborn Machine Learning & Deep Learning • CNNs, RNNs, GANs, VAEs, Transformers, vision-language models, LLMs, MAE, • Unsupervised and Self-Supervised Learning Development & Cloud Tools • AWS SageMaker, Google Cloud AI Platform, Azure Machine Learning • Git, Docker, Linux, Jupyter Notebooks, Distributed Training • MLOps, Weights & Biases (WandB)

Experience

1. Data Scientist, Medical Imaging

   Johnson & Johnson

   Jun 2025 — Present · San Francisco, CA, US

Education

• University of Tehran

  Bachelor of Science - BS

• Northeastern University

  Doctor of Philosophy - PhD

• Northeastern University

  Master of Science - MS