Quang Tran is a software engineer in San Francisco with eight years of experience applying machine learning and deep learning to real-world problems across industry and education. He currently builds production systems at Amazon and previously led end-to-end ML solutions for healthcare abuse detection at Deloitte, while also teaching multiple computer science and ML courses at Minerva University. His hands-on CV work includes improving breast cancer diagnosis AUC by 7% and optimizing satellite imagery object detection pipelines, demonstrating a knack for translating research techniques into pragmatic, high-impact models. Comfortable across the stack (PyTorch, GCP, Django) and experienced with large-scale data, he combines an educator’s clarity with a practitioner’s focus on measurable improvements.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Bachelor's degree at Minerva Schools at KGI
Contributions:8 PRs, 61 pushes, 7 branches in 3 months
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