UW ECE grad student with 5+ years of backend automation experience, now building full-stack and AI-powered applications across Python, JavaScript, and cloud platforms.
Seeking 2026 SWE internships.
Hi, I'm Yulo — a full-stack developer and former backend automation engineer with 5+ years of experience building high-reliability data pipelines in the global clinical research industry. Before grad school, I worked in the global clinical research industry, where I designed and shipped production ETL pipelines and validation-oriented processing frameworks with a strong focus on traceability, correctness, and operational reliability.
Today, I build full-stack and AI-powered applications using Python, JavaScript/TypeScript, SQL, and modern cloud platforms such as AWS and Cloudflare Workers. My recent work includes serverless AI agents, Excel automation systems, and Chrome extensions designed for productivity-focused users.
I’m currently working on a NASA JPL capstone building a real-time voice-to-notes pipeline that turns multi-operator conversations into timestamped transcripts and structured engineering logs.
University of Washington
Sept 2025 - June 2027
Northeastern University
Jan 2025 - Aug 2025
NASA JPL (Capstone Project)
Jan 2026 – Current
- Designing an AI assistant that ingests live telemetry and operator conversations into structured engineering logs and searchable records
PAREXEL
Dec 2018 – Nov 2024
- Engineered backend automation pipelines and internal tools using Python and SQL, supporting large-scale workflows and reducing turnaround times from 24h to 3h
- Designed modular ETL frameworks and data-infrastructure components used in FDA regulatory submissions across 30+ countries
I work across the full stack, building cloud-based applications, automation workflows, and AI-powered tools. Here are the core technologies I use to develop scalable and reliable systems across my projects.
Python,Java,JavaScript, Typescript, C, C++, Go
HTML, CSS, Tailwind CSS, React.js, Flask, RESTful APIs, API Design
AWS (EC2, S3, Lambda), Cloudflare Workers, Edge Deployment, CI/CD pipelines, Unix/Linux Environments
SQL, Pandas, OpenPyXL, Algorithms & Data Structures, GitHub, Jira, ETL Pipelines, Data Processing
Natural Language Processing, Prompt Engineering, LLM Integration, Cloudflare Workers AI (Llama 3.3), Google Gemini API
Welcome to my web development portfolio! Explore a collection of projects showcasing my expertise in full stack development.
AI-powered baseball statistics assistant built with Cloudflare Workers AI
Excel Copilot with AI-powered spreadsheet automation
A Chrome extension: Pin and reuse ChatGPT messages and prompts
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