Christopher Mena is an aspiring software engineer based in the New York City metro area with nine years of professional experience blending technical development and frontline leadership. While completing a Computer Science degree at Hunter College and iOS training at CodePath, he led projects such as the SpotOn Shared GPS App and Save-A-Can React App and built a TensorFlow-based NLP sentiment model during a 15-week DOT internship. Proficient in Python, JavaScript, Swift, C++, Flutter, ReactJS and TensorFlow, he combines hands-on engineering with data wrangling and visualization skills using Selenium, Pandas, and Matplotlib. As a UNIQLO supervisor and Fast Retailing C.S. Award winner, he brings proven people management, stakeholder communication, and product-focused delivery to engineering teams. Colleagues can expect a developer who bridges customer-facing insight and applied ML prototypes, with a track record of shipping practical solutions and documenting them for easy handoff.
8 years of coding experience
Associate of Science - AS, Computer Science, Associate of Science - AS, Computer Science at CUNY New York City College of Technology
Bachelor of Arts - BA, Computer Science, Bachelor of Arts - BA, Computer Science at Hunter College
Contributions:2 PRs, 78 pushes, 3 branches in 1 year 7 months
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