Jinxuan Tang

Lead Data Science Intern

New York, New York, United States
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Summary

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Senior
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Top School
Jinxuan Tang is a data-driven electrical engineer and machine learning practitioner with a decade of hands-on experience spanning signal processing, computer vision, and hardware design. Currently an MS student at Columbia (4.0 GPA) and Lead Data Science Intern at AI Camp, he has built production CV systems like a YOLOv5-based plant diagnosis pipeline and optimized multi-style image transfer services, cutting inference time by ~50%. His background blends analog/digital circuit and FPGA design with large-scale software skills (Python, PyTorch, TensorFlow, GCP/AWS, Spark), enabling end-to-end solutions from sensor capture to cloud deployment. Notably, he has shipped a compact DC-DC converter design at Siemens and led a face-recognition research team at the Chinese Academy of Sciences achieving 98.8% on Yale Face Database. Curious and versatile, he combines contest-winning debate and leadership awards with a pragmatic focus on applied ML and embedded systems integration.
code10 years of coding experience
bookMaster of Science - MS, Electrical Engineering, specializing in Data-Driven Analysis and Signal Processing, 4.0/4.0, Master of Science - MS, Electrical Engineering, specializing in Data-Driven Analysis and Signal Processing, 4.0/4.0 at Columbia University in the City of New York
bookBachelor's degree, Electronic Information Science and Technology, 3.82/4.0, Bachelor's degree, Electronic Information Science and Technology, 3.82/4.0 at University of Electronic Science and Technology of China
languagesChinese, English
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Stackoverflow

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Github Skills (4)

ssm8
maven6
java4
mybatis4

Github contributions (5)

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tangjinr/python_craw

Apr 2016 - Nov 2022

Contributions:10 pushes, 1 branch in 6 years 7 months
tangjinr/leetcode

Dec 2016 - Sep 2022

Contributions:36 pushes, 1 branch in 5 years 10 months
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