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@feifeihuang
Computer vision and backend developer skilled in Python, C/C++, Docker, and ML.
I am a computer technology master's candidate with strong experience in computer vision, backend development, and model-driven medical imaging research. I have delivered production-oriented projects—real-time vision systems, socket-based messaging, and a semi-supervised MRI segmentation framework—while maintaining high academic standing.
During a software development internship I containerized server components with Docker, built automated deployment and testing pipelines, and received an Outstanding Intern award for top-10% performance. I also improved image-processing pipelines by over 20% and raised Dice score by 5% in a cardiac MRI task.
I bring solid programming skills in Python, C/C++, Java and SQL, practical experience with PyTorch, OpenCV, Qt, and Docker, and a collaborative leadership record as a student association vice president and award-winning competition participant.
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Work history, roles, and key accomplishments
Huawei Technologies
Jul 2025 - Sep 2025 (2 months)
Containerized multiple server components with Docker and built an automated deployment pipeline to standardize environments and increase deployment efficiency; implemented automated VT test cases via resource pre-provisioning and API calls, improving validation reliability and earning an Outstanding Intern award.
Degrees, certifications, and relevant coursework
Master of Engineering, Computer Technology
2023 -
Grade: GPA 3.53/4.0
Master of Engineering candidate in Computer Technology with a GPA of 3.53/4.0, expected graduation June 2026.
Bachelor of Engineering, Computer Science and Technology
2019 - 2023
Grade: GPA 3.8/4.0 (Top 1/115)
Activities and societies: Vice President, University Programming Association (2021-2022); Outstanding Student Leader in Social Work (2021-2022); multiple national competition awards and first-class scholarships (2020-2022).
Bachelor of Engineering in Computer Science and Technology with a GPA of 3.8/4.0, graduated top of class (1/115) in June 2023.
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