A PhD in Physics with 10+ years of experience as a data scientist, machine learning engineer, and educator. Specializes in computer vision, quantum field theory, and scientific computing. Taught unique physics courses at UCLA for science majors, managing teaching assistants and mentoring students for 7+ years. Developed AI tools using convolutional neural networks (CNNs) for medical image analysis and contributed to natural language processing (NLP) systems. Proficient in Python, C++, Bash, and AWS, with a strong track record of solving complex data and scientific problems. Published research on superfluids and gravito-electromagnetism.