Jingxuan Zhou

Georgia Tech graduate with a robust foundation in full-stack development. Proficient in Python, C, Java, Perl, SQL, Typescript, React, and Node.JS. Currently working on developing the next-gen, point-of-sale solution for retail at NCR

I am a Georgia Tech graduate specializing in full-stack development with proficiency in several programming languages, including Python, Java, and Typescript. My professional journey began as a Graduate Research Assistant at Georgia Tech's BME Machine Learning lab, where I successfully trained CNN models for cell image classification and developed web applications for result visualization. I transitioned to the corporate world as a Junior Database Developer Co-Op at MerchLogix, enhancing their database schema, refining backend processes, and introducing a feedback system.

Currently, I'm making significant strides at NCR Corporation as a Software Engineer. Here, I've been instrumental in developing next-gen POS software for a major U.S. grocery chain, deploying features to enhance UI, and conducting comprehensive testing to ensure top-tier software functionality. Throughout my career, I've consistently demonstrated my expertise in software development, collaborative teamwork, and proactive problem-solving.

I hold two Master's degrees from the Georgia Institute of Technology. The first is an M.S. in Computational Science and Engineering, where I achieved a notable GPA of 3.84/4.0, and the second is an M.S. in Bioinformatics. During my time at Georgia Tech, I delved into a range of courses that fortified my foundation in the tech realm, including Algorithm, Database, Computer Networks, Info Security, Internet Computing, High-Performance Computing, Mobile App Services, Data and Visual Analytics, and Modeling and Simulation.

This comprehensive educational background has provided me with a robust foundation in both computational methodologies and bioinformatics applications.