As a software engineer and machine learning researcher, I am passionate about building end-to-end machine learning applications. I have experience in developing natural language processing (NLP) applications, designing and implementing recommendation models, building and deploying data pipelines, and conducting research on tensorized multimodal deep learning. I have a Master's degree in Electrical and Computer Engineering from UC Santa Barbara, where I studied computer vision, deep learning, pattern recognition, and other related fields. I have also worked as a software engineering intern at DeltaFi and as a graduate student researcher at UC Santa Barbara. My skills include Python, SQL, TensorFlow, PyTorch, and AWS. I enjoy taking on new challenges and am excited to continue learning and growing in my field.