

AI Engineer with over 8 years of experience in advanced research, data science, and artificial intelligence. Proven expertise in developing and deploying machine learning and deep learning models for image processing, medical imaging, and data analysis. Known for driving innovative research and translating complex algorithms into practical applications. Skilled at leveraging Python, PyTorch, and cutting-edge AI technologies to deliver impactful solutions.
Programming: Python, R, SQL, Matlab
Deep Learning/ Neural Networks: Deep Convolutional Networks (ResNet, etc), Segmentation (UNet, AR-UNet, etc), Detection Networks (RCNN, etc), GPU computing, LLM (BLIP, etc), NLP
Machine Learning: Supervised/Unsupervised Learning (Regression, Random Forest, Gradient Boosting, KNN, SVM, Decision Tree, AdaBoost, PCA, etc)
Data Science Tools: Tensorflow, Keras, PyTorch, Scikit-Learn, Pandas, Numpy, Spark, PySpark, etc
Computer Vision: Scikit-image, OpenCV, Pillow, Pydicom, NiBabel, Synthetic data, etc
Cloud Computing: AWS