I’m thankful for my time at UC San Diego where I pursued a Bachelor of Science Mathematics-Computer Science degree. The coursework there allowed me to really sharpen my skills in Machine Learning, Deep Learning, Data Science, Big Data, and Recommendation Systems. I worked as a Machine Learning research intern at San Diego Supercomputer Center where I distributed training U-Net CNN to segment the left ventricle from cardiac MRI images. I also implemented the Transfer Learning method to extract features and finetune pre-trained models using PyTorch, TensorFlow, and Keras. I’m experienced in classification, regression, clustering, recommendation system, and neural networks with a strong focus on Math and Computer Science. I'm always eager to learn and improve my skills. I can follow complex instructions and meet tight deadlines. People find me reliable, responsible, and honest. I perform best in a team but can work on my own as well. I’m looking forward to putting all this theory to good practical use and helping technology improve the lives of people around the world.