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Vincent Cai

Full Stack Developer

Education

M.S., Computer Science

University of Iowa
2023 - 2025

Ph.D., Music Composition

University of Iowa
2016 - 2023

M.M., Music Composition

Oklahoma City University
2013 - 2015

B.A., Music Theory and Composition

Shenyang Conservatory of Music
2008 - 2012

Awards & Fellowships

Marcus Bach Graduate Fellowship
University of Iowa
2023

Graduate College Summer Fellowship

University of Iowa
2021

Henry and Parker Pelzer Fellowship Award (2-times Composer of the Year)

University of Iowa
2017 & 2019

Graduate Music Talent Scholarship

Oklahoma City University
2013-2015

Won first place for the biannual Piano Competition

Shenyang Conservatory of Music
2010

SYCM Merit Scholarship

Shenyang Conservatory of Music
2009-2011

Strength

  • Professional skills in machine learning and deep learning
  • Interdisciplinary problem-solving ability
  • Teamwork and technical guidance experience
  • The ability to quickly learn new technologies

Languages

  • Chinese (Native)
  • English (Full Professional Proficiency)

Interests

  • Group Fitness
  • Reading
  • Swimming
  • Tennis
  • Piano

Career Profile

Full-stack developer with a Master’s degree in Computer Science from the University of Iowa (GPA 3.74/4.00).

Experienced in machine learning, AI, and software development with hands-on experience as a Software Engineering Intern at Casey’s Store Support Center, where I led the .NET 8 upgrade project and gained expertise in CI/CD and DevOps practices.

Specialized in Python, machine learning algorithms, medical image analysis, and deep learning. Successfully completed AI projects including aortic valve diagnosis systems using nnU-Net, automatic speech recognition, and MRI synthesis with CycleGAN.

Seeking full-time positions in machine learning and Data Science.

Experience

Graduate Teaching Assistant

2023 - Present
University of Iowa, Computer Science Department
  • Teaching assistant for core CS courses: Artificial Intelligence, Data Structures, Programming Languages, Computer Organization
  • Instructed 100+ students in machine learning algorithms, neural networks, and programming languages (Java, C, Haskell)
  • Conducted lab sessions and office hours, improving student comprehension and course performance

Software Engineering Intern

May 2024 - Aug 2024
Casey's Store Support Center
  • Led .NET 8 upgrade project for 12 Commerce Integration Platform applications, completing ahead of .NET 6 end-of-life deadline
  • Implemented CI/CD pipelines and DevOps practices, improving deployment efficiency
  • Conducted API testing using Postman and managed infrastructure through ServiceNow ticketing system
  • Gained exposure to data science workflows and cybersecurity practices through cross-team collaboration

Projects

Aortic Valve Insufficiency Diagnosis System - Developed automated diagnosis system using nnU-Net for 3D medical image segmentation and XGBoost for risk classification. Achieved improved early detection accuracy through radiomic feature analysis and morphological assessment. Tech Stack: Python, nnU-Net, XGBoost, PyRadiomics, SimpleITK
Automatic Speech Recognition System - Built ASR system using deep neural networks with CTC loss, implementing Viterbi decoding and beam search optimization for improved transcription accuracy. Tech Stack: Python, NumPy, Kaldi
Cross-Modality MRI Synthesis - Implemented CycleGAN architecture for T1/T2 MRI modality translation, enabling enhanced medical imaging workflows. Tech Stack: PyTorch, MONAI, 3D Slicer

Publications

The following are the works I have published during my academic research period, covering research achievements in fields such as computer science and music composition.

  • Rapid Diagnosis of Aortic Valve Insufficiency in Aortic Root Enlargement
    • Cindy Chiu, Hongwei Cai
  • Path to the third pole: for sinfonietta
    • Hongwei Cai
    University of Iowa, Autumn 2023

    Recommendations

    During his internship at Casey’s Support Center, Vincent demonstrated outstanding technical skills and team spirit. Through his efforts, we successfully completed the .NET 8 technical debt project and improved the platform’s stability and performance.

    Dean Rottinghaus

    Software Engineering Manager

    Vincent is a very diligent and easy-going person. He has excellent learning ability and always maintains a humble and cautious work attitude.

    Sami Damanhoury

    Casey's Software Engineer

    Technical Skills

    Python & Machine Learning

    Deep Learning (PyTorch, TensorFlow)

    Data Science (Pandas, NumPy, Scikit-learn)

    C#/.NET & DevOps

    CI/CD & DevOps

    Cloud Platforms (Azure, AWS)