My typical frontend technical stack is Cloudflare, Vue, and Nuxt. Nuxt, in particular, provides ease of use templates for developers, even with limited understanding in javascript/typescript. Additionally, deploying on serverless Cloudflare Worker significantly reduces maintenance efforts. Within one of my open-source frontend projects, I developed an interface for showing ECPAY donations like YouTube SuperChat, which continues to be widely used by many YouTubers and Vtubers to this day.

Python is my primary language, enable rapid development through its extensive open-source libraries. For environment management, I containerize all the services using Docker or Podman, ensuring fixed versions and consistent deployment. For local development and small-scale deployments, I rely on Docker Compose. Recently, I have been deploying projects on cloud services such as EC2, Lambda or Fargate, to ensure availability and scalability.

In the field of bioinformatics, I have engaged in two primary areas of work. Firstly, I have developed and open-sourced the code and its related modules for my master's thesis. Secondly, I have been involved in deployment-related works, including building the pipeline and resolving open source project issue.

While most of the homework projects were typically incomplete and unexciting, two exceptions stood out: 'linnil1/2019ImageProcessing' and 'avmm9898/Robot_final_Pj'. In the case of the Image Processing homework, I merge all the functions in each homework together, resulting in a comprehensive image processing Qt UI. As for the Robotic final project, it involved creating a fully functional robot and participating in a competition, with accompanying videos included in the documentation.