UW ECE grad student with 5+ years in clinical backend engineering, now building full-stack tools using JavaScript, Python (FastAPI), and AI integrations. Seeking 2026 software engineering internships.
Hi, Hi, I’m Yulo — a full-stack software engineer with over 5 years of backend experience in the pharmaceutical industry. I have built data platforms and automated clinical research pipelines, focusing on scalable, production-grade systems that integrate backend strength with thoughtful full-stack design. Currently, I'm pursuing an M.S. in Electrical and Computer Engineering at the University of Washington. My passion lies in applying software and AI technologies to solve real-world challenges in productivity, health, and research. I am actively seeking software engineering internships for 2026, where I can contribute to impactful and technically challenging projects.
University of Washington
Sept 2025 - June 2027
Northeastern University
Jan 2025 - Aug 2025
PAREXEL
Dec 2018 – Nov 2024
- Developed scalable backend pipelines and automation systems to transform clinical trial data into analysis-ready formats, significantly enhancing processing efficiency across global studies
I work across the full stack, using technologies like JavaScript, FastAPI, Python, and AI APIs to build scalable web applications. Below are some of the core tools I use in my projects.
Python, Java, JavaScript, Pandas, Flask, SQL, R, SAS,
chrome.storage, SPSS,
Excel File Handling, Longitudinal Modeling
HTML, CSS, Tailwind, JavaScript, DOM, Dark/Light Mode, Fetch, Web UI Embedding
Gemini API, Prompt Engineering, Markdown Response Parsing, Prompt Reusability UX
Git, VS Code, JSON, Unix, localStorage, Debugging Tools, Unit Testing, Chrome Extensions (Manifest V3), WebExtensions API, DevTools Debugging, Cross-tab Sync
Welcome to my web development portfolio! Explore a collection of projects showcasing my expertise in full stack development.
Excel Copilot with AI-powered spreadsheet automation
A Chrome extension: Pin and reuse ChatGPT messages and prompts
GPT-enhanced movie app with Firebase backend
A peer-reviewed publication from my earlier research experience.
Lo, Y., Chen, W. T., Wang, I. A., Liu, C. Y., Chen, W. J., & Chen, C. Y. (2019).
Family and school social capital in late childhood predict youthful drinking behaviors and problems.
Drug and Alcohol Dependence, 204:107482.
yulo.jobs@gmail.com