Hi, I'm Miranda Zheng, a passionate software engineer and full-stack developer based in Troy, New York. Currently pursuing a dual bachelor's degree in Computer Science & Information Technology and Web Sciences at Rensselaer Polytechnic Institute, I thrive on solving complex problems through coding and innovative technology. With hands-on experience at Lockheed Martin and NASA, I've developed strong skills in backend and frontend development, CI/CD automation, and deep learning applications. I enjoy contributing to projects that combine my technical expertise with creativity, such as building efficient web applications and enhancing user experiences. Outside of coding, I am an amateur photographer and actively participate in student leadership roles, which enrich my collaborative and communication abilities.

Miranda Zheng

Hi, I'm Miranda Zheng, a passionate software engineer and full-stack developer based in Troy, New York. Currently pursuing a dual bachelor's degree in Computer Science & Information Technology and Web Sciences at Rensselaer Polytechnic Institute, I thrive on solving complex problems through coding and innovative technology. With hands-on experience at Lockheed Martin and NASA, I've developed strong skills in backend and frontend development, CI/CD automation, and deep learning applications. I enjoy contributing to projects that combine my technical expertise with creativity, such as building efficient web applications and enhancing user experiences. Outside of coding, I am an amateur photographer and actively participate in student leadership roles, which enrich my collaborative and communication abilities.

Available to hire

Hi, I’m Miranda Zheng, a passionate software engineer and full-stack developer based in Troy, New York. Currently pursuing a dual bachelor’s degree in Computer Science & Information Technology and Web Sciences at Rensselaer Polytechnic Institute, I thrive on solving complex problems through coding and innovative technology. With hands-on experience at Lockheed Martin and NASA, I’ve developed strong skills in backend and frontend development, CI/CD automation, and deep learning applications.

I enjoy contributing to projects that combine my technical expertise with creativity, such as building efficient web applications and enhancing user experiences. Outside of coding, I am an amateur photographer and actively participate in student leadership roles, which enrich my collaborative and communication abilities.

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Skills

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Amharic
Advanced
Javanese
Advanced

Work Experience

Software Engineer Intern at Lockheed Martin
May 1, 2025 - Present
Automated C/C++ build, test, and deployment for Linux via GitLab CI/CD, improving delivery speed by 30%. Created Docker images to ensure consistent, containerized environments for development and testing, reducing setup time and issues by 40%. Migrated legacy Makefile-based systems to CMake to enhance build maintainability and integration with CI/CD pipelines and Docker workflows. Developed unit tests for CMake applications and incorporated them into automated pipelines to increase code quality.
Software Engineer Intern at Lockheed Martin
August 31, 2024 - September 4, 2025
Refactored a Java Swing UI across two product releases, improving functionality, accessibility, and user experience while managing version control with TortoiseCVS. Reduced code redundancy and accelerated development cycles by 30% through implementation of inheritance-based Java class structures and code optimization. Designed and optimized complex tracking algorithms for hypersonic threat prediction using Python, MATLAB, and Excel, achieving 99% accuracy.
Student Researcher at NASA & Rensselaer Polytechnic Institute
May 1, 2024 - September 4, 2025
Collaborated with research mentors to translate equations into MATLAB to improve speed of temperature and vaporization calculations. Researched and applied image enhancement techniques using Python and Mask R-CNN to analyze NASA ISS footage. Tested techniques using Python’s scikit-image library and Mask R-CNN to distinguish liquid and vapor regions in thermal experiment footage.

Education

B.S. Dual, Computer Science & Information Technology and Web Sciences at Rensselaer Polytechnic Institute
January 11, 2030 - May 1, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Government, Education

Skills

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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