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Zhengzhi, has a Ph.D. degree in advanced imaging from University of Tennessee and received postdoctoral training on medical image processing with machine learning/deep learning at Stanford University, has been working in industry for about 2 years on system simulation software development and medical image processing with deep learning, has an excellent knowledge of data structures and algorithms, machine learning, and deep learning, excels at C++ and Python programming with a proven record of researching and publication. Zhengzhi is an extremely careful, highly self-motivated, and goal-oriented person and a fast learner, who always tries his best to deliver impeccable work.

Dynamic Software Development Engineer with a B.Tech in Electrical Engineering from the Indian Institute of Technology Kharagpur, graduated in 2019. Experience includes contributions to leading software companies such as Amazon and Adobe, demonstrating a strong ability to develop robust and scalable applications. Expertise in programming languages, debugging, and system architecture drives impactful results while fostering team collaboration and adaptability. Recognized for reliability and a talent for navigating evolving project requirements with ease.

Works at the intersection of machine learning, AI, and operational systems, with a focus on reducing complexity without oversimplifying it. Experience has centered on designing solutions that impose structure on ambiguous processes, enabling more reliable and transparent decision-making. Particularly interested in problems where technical precision must coexist with practical constraints.

Experienced Data Scientist with a strong background in deep learning, machine learning, and computer vision. Proficient in Python, MATLAB, VBA, SQL, and cloud platforms such as AWS and Azure. Skilled at extracting insights from large datasets, creating compelling visualizations, and presenting results to stakeholders. Demonstrated ability to drive business value through the use of data-driven approaches. Adept at problem-solving and decision-making, with a focus on finding practical solutions to complex data challenges.

Tianran Liu

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Test and Development Engineer in IuK branch

Development Engineer for RSU

Intern - Technical Support

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Master of Science - Automotive Engineering

Bachelor of Science - Fahrzeug- und Motorentechnik

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Development Engineer for RSU

Test and Development Engineer in IuK branch

Intern - Technical Support

Master of Science - Automotive Engineering

Bachelor of Science - Fahrzeug- und Motorentechnik

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