Master of Science student in Computer Science at New York University's Courant Institute, with experience in training, evaluating, deploying, and maintaining machine learning and deep learning models. Experienced in Python, C++, AWS, Azure, Databricks, Git, Docker, Kubernetes, MLOPs, and deep learning frameworks such as PyTorch and Keras. Possesses strong theoretical knowledge of various deep learning architectures (e.g., CNNs, RNNs, LSTMs, Transformers, Autoencoders, VAEs, GANs, Diffusion Models). Has a strong background in GPU architecture and CUDA.