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Mobile: (313)752-4309
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Email: choutianxius@gmail.com
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Linkedin: tianxiu-zhou
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Github: choutianxius
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Location: 1800 Holleman Drive, College Station, TX 77840
| Institute | Degree | Time |
|---|---|---|
| Texas A&M University | Master of Computer Science | Aug 2023 - Expected May 2025 |
| Tsinghua University | Bachelor of Science in Biology | Aug 2019 - Jun 2023 |
| Category | Skills |
|---|---|
| Backend Development | .NET, FastAPI, Django, Flask, Node.js, Express.js, Spring Boot, MySQL, Redis, Kafka |
| Frontend Development | TypeScript, JavaScript, React.js, Next.js, TailwindCSS, HTML, CSS, React Native, Redux |
| Professional Dev Skills | Git, Docker, CI/CD, AWS, Linux |
| Programming Languages | TypeScript, JavaScript, C#, Python, Java, SQL, HTML, CSS |
| Data Science & ML | PyTorch, Pandas, Numpy, Reinforcement Learning, D3.js, Matplotlib |
| Project Name | Company | Tech Stack | Time |
|---|---|---|---|
| Advanced Mobile Automated Regression Testing | Paycom, LLC. | .NET, TypeScript, React.js, MySQL, Docker, GitLab | May 2024 - Aug 2024 |
- Collaboratively designed a system for executing UI regression tests on remote mobile devices, providing a unified solution to automating quality assurance tests with comprehensive control and logging for both iOS and Android.
- Developed a .NET Core backend application with the MySQL database to provide a RESTful API for managing test scripts, scheduling and dispatching testing jobs to mobile devices, and persisting test execution results.
- Implemented dependency injection and the repository pattern in the .NET Core backend project. Implemented unit tests with xUnit and Moq to achieve a full test coverage.
- Set up GitLab CI pipelines to automatically perform unit testing and linting upon merge requests.
- Built an SPA frontend for visualizing test scripts, testing jobs and results with React.js and an internal UI library.
- Containerized the .NET Core backend using Docker and integrated the frontend SPA with Docker multi-stage building.
- Awarded as one of the MVPs of the Software Development Internship program.
| Project Name | Company | Tech Stack | Time |
|---|---|---|---|
| Digital Twin-Based Smart City & Smart Construction Platform | Texas A&M Univ. | TypeScript, Next.js, React Native, TailwindCSS, FastAPI, Apache Kafka, Redis, AWS | Nov 2023 - Current |
- Built a FastAPI based Python backend to perform domain specific data analysis and provide a RESTful API.
- Developed a queuing system with Apache Kafka and Redis to asynchronously process data from different sources and persist results in AWS DynamoDB.
- Built both a data visualizing website and an admin's dashboard with TypeScript, Next.js and TailwindCSS.
- Developed a cross-platform mobile app for data visualization with TypeScript and React Native. Created a performant plotting library with React Native Skia and D3.js for making highly customized charts.
- Deployed the backend and frontend apps with AWS services including ECS, S3, CloudFront, Route53 and Amplify.
- Set up CI/CD pipelines with AWS CodeCommit, CodeBuild and CodeDeploy for automatic testing and deployment.
| Project Name | Location | Tech Stack | Time |
|---|---|---|---|
| Network Dissection of a DQN Agent Playing Super Mario Bros | Tsinghua Univ. | PyTorch, Deep Reinforcement Learning, OpenAI Gym, Numpy | Feb 2023 - Jun 2023 |
- Implemented the double DQN algorithm with PyTorch to train a reinforcement learning agent to beat Super Mario Bros.
- Fine-tuned a semantic segmentation model for segmenting in-game scenes to generate training dataset for the DQN agent, based on ResNet-50.
- Examined the correlation between activation of neurons in the DQN network and objects in the input scenes, in an effort to investigate the mechanism of neuron function generation.