Nina Nguyen
About Nina Nguyen
Nina Nguyen is a Software Engineer specializing in infrastructure at Virta Health, with extensive experience in cloud infrastructure, DevOps, and healthcare data.
Title
Nina Nguyen is a Software Engineer specializing in Infrastructure at Virta Health. She has been working in this role in San Francisco, California, since 2020.
Company
Nina Nguyen is currently employed at Virta Health, where she serves as a Software Engineer focusing on Infrastructure. Virta Health is located in San Francisco, California.
Education and Expertise
Nina Nguyen holds a Bachelor of Science (B.S.) in Cognitive Science with a Specialization in Computing from UCLA. Her expertise includes managing cloud infrastructure on both Google Cloud Platform (GCP) and Amazon Web Services (AWS). She is proficient in DevOps tools like Kubernetes, Docker, Terraform, and Google Kubernetes Engine (GKE). Nina has extensive experience in building and managing ETL pipelines using Airflow and Dagster, implementing CI/CD processes with tools such as CircleCI and GCP Cloud Build, and utilizing monitoring tools like Stackdriver, Sentry, and Honeycomb.
Background
Nina Nguyen has a diverse background in technology and education. She has worked in various roles, including AI & Machine Learning Instructor at Digital Media Academy, Data Science Immersive at Galvanize Inc, Physics Instructor at San Mateo County Office of Education, and Math Instructor at Skyline College. She also has experience as a Graduate Tutor and Instructor, Counselor/Editor at IvyMax Inc, and Robotics Instructor at Bricks 4 Kidz. Her early career involved internships at the National Institutes of Health in positions focused on Clinical Informatics and Endocrinology Research.
Achievements
Nina Nguyen has demonstrated a high level of proficiency in software engineering and education. She has successfully transitioned between roles that require technical skills in programming languages like Python and Bash, managing cloud infrastructures, and implementing DevOps processes. Additionally, she has contributed to teaching and mentoring in subjects ranging from AI and machine learning to physics and mathematics, showcasing her versatility and commitment to education and technological advancement.