Justin Zheng is an undergraduate computer scientist based in the San Francisco Bay Area with a decade of hands-on experience across research and industry internships focused on ML, data engineering, and full-stack systems. He currently researches cross-disciplinary semantic translation at Georgia Tech and has built production-focused projects such as a financial simulation intelligence platform and a CrossFit performance prediction engine. His internships at NVIDIA and Amazon involved GPU server diagnostics and brand experience engineering, reflecting strength in both low-level infrastructure and user-facing product work. Justin pairs academic rigor with applied engineering—he’s delivered ML systems for fraud detection and predictive analytics while moving between research prototypes and production-ready code. An early-career engineer with a pattern of short, impactful engagements, he brings adaptability and an appetite for bridging semantic research with scalable software.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Georgia Institute of Technology
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