About

Results-driven Full-Stack Developer with extensive expertise in AI-powered monitoring and automation platforms and scalable web systems. Proven track record of designing innovative solutions that streamline workflows and reduce costs. Passionate about leveraging cutting-edge technologies and delivering robust solutions across the entire Software Development Life Cycle (SDLC).

Who I Am

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I’m a passionate Full-Stack Developer, Back-End Developer, and Data Analyst with a love for open-source contributions. I enjoy creating impactful solutions and collaborating on diverse projects to solve complex problems.

Projects I’ve Created and Maintain

  • impURL: A lightweight and efficient URL shortener.
  • covid19-api: A powerful API for COVID-19 data aggregation and analysis.
  • scavenger: A prototype project exploring web scraping as a service.
  • daylify: A tool designed to simplify and track daily mood measurements.

Skills

Back-End Development

  • API Development: RESTful, GraphQL
  • Programming: Python, JavaScript (Node.js), TypeScript, PHP
  • Design Patterns: MVC, Facade, Singleton
  • Frameworks: FastAPI, Flask, Express.js, Laravel, CodeIgniter

Databases

  • Relational: MySQL, MariaDB, PostgreSQL
  • Non-relational: MongoDB, Azure Cosmos DB, Redis

Front-End Development

  • Languages: HTML, JavaScript (Vue.js, Nuxt.js, jQuery)
  • Styling: CSS, SASS, Bootstrap, Tailwind CSS
  • Build Tools: Vite, Webpack

Data Analysis

  • Exploratory Data Analysis (EDA)
  • Data Manipulation & Visualization: Pandas, NumPy, Matplotlib, Seaborn
  • Machine Learning: Scikit-learn, TensorFlow, Keras

Miscellaneous

  • Task Queues: Celery, Redis
  • Version Control: Git, GitHub, GitLab
  • DevOps: CI/CD, Docker, Jenkins
  • Cloud Platforms: Microsoft Azure
  • System Administration: Linux, Windows
  • Project Management: Jira, Trello, Slack
  • Testing: Unit Testing, Integration Testing, Selenium, PyTest

Publications

  1. N. Arunoprayoch, C. Lai, P. Tho, J. Liang, and J. Yang, “Effects of Question Types on Engagement and Performance of Programming Learning for Non-computer Science Majors,” 2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI), Yonago, Japan, 2018. DOI: 10.1109/IIAI-AAI.2018.00065

  2. N. Arunoprayoch, C. Lai, P. Tho, J. Liang, “Effects of Peer Interaction on Web-Based Computer Programming Learning,” The 25th International Conference on Computers in Education (ICCE 2017), New Zealand, 2017. Read the paper

Contact

Feel free to reach out to me via LinkedIn or GitHub.