Summary
Mindy Physics is a data scientist and AI developer-solutions architect with nine years of experience applying deep learning, data engineering, and visualization to healthcare, automotive, and research domains. With a PhD in nuclear and particle physics and hands-on experience building IoV cloud platforms and automated ETL pipelines, she bridges rigorous scientific thinking with production-grade ML systems. At The Clinician she improved data processing efficiency and user engagement through tailored ML models and advanced visual narratives, and previously architected real-time vehicle diagnostics and QA automation at Faraday Future. As a top-rated independent contractor she designed agent systems and tooling that cut analysis time by up to 40% for STEM and education clients, and consistently raised model quality through stringent labeling and anomaly detection. Comfortable in cloud-native AWS stacks, PySpark, Matlab automation, and dashboarding tools like Superset, she combines research-grade analytics with pragmatic engineering to deliver measurable impact. Colleagues find her unusual blend of nuclear-physics rigor and product-focused machine learning useful for turning complex data into actionable outcomes.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Experimental High-energy Particle Physics, Master of Science - MS Experimental High-energy Particle Physics at National Taiwan University
Data Science, Data Science at Flatiron School
PhD Nuclear and Particle (Medium Energy) Physics, PhD Nuclear and Particle (Medium Energy) Physics at Syracuse University
English, Chinese, Mandarin