Data Scientist & AI Developer Solutions Architect, Deep Learning, And Visualization
San Jose, California, United States
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Summary
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Senior
🎓
Top School
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.
9 years of coding experience
Master of Science - MS, Experimental High-energy Particle Physics, Master of Science - MS, Experimental High-energy Particle Physics at National Taiwan University
PhD, Nuclear and Particle (Medium Energy) Physics , PhD, Nuclear and Particle (Medium Energy) Physics at Syracuse University
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Mindy Physics - Data Scientist & AI Developer Solutions Architect, Deep Learning, And Visualization