Han Zhang

Design and develop machine learning and AI solutions for large-scale, data-intensive business problems. Build end-to-end ML workflows and apply MLOps practices across the ML lifecycle.

Developed and productionized machine learning solutions for large-scale e-commerce problems, including delivery prediction, promise optimization, recommendation systems, and seller growth. Applied causal machine learning and designed A/B tests to evaluate models and product initiatives.

Developed a computer vision solution to recognize emergency vehicles for traffic analysis using CNN and ResNet-34, achieving approximately 97% classification accuracy.

Conducted astronomy research and developed Python-based workflows for large astronomical datasets. Taught introductory astronomy laboratory courses and communicated technical concepts through hands-on instruction.

Ph.D. in Astronomy from the University of Florida, with research in astronomical data analysis and teaching experience.

Bachelor's Degree in Astrophysics from Beijing Normal University.

Certification in Generative AI with Large Language Models, issued August 2025.

Earned a Bachelor's Degree in Astrophysics.

Completed the Generative AI with Large Language Models certification in August 2025.

Activities and societies: Graduate Research Assistant and Graduate Teaching Assistant

Pursued a Ph.D. in Astronomy, conducting research and teaching introductory astronomy laboratory courses.

Completed the Convolutional Neural Networks certification.

Certification in Convolutional Neural Networks.