DYNAMIC WEB MAGIC WITH PERSONAL PORTFOLIO
Transforming Scratches into Real-World Solutions
Hi! I'm Isabel Chen, a Full Stack Developer.
Download my CV→I constantly try to improve
My tech stack
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Javascript
Next.js
React.js
HTML5
CSS
Nodejs
Tailwind
MongoDB
AWS
Github
Docker
Python
Flask
Oracle
About Me
Background
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University Of Michigan - Ann Arbor
Computer Science 2025
Minor in Statistics
Work Experience
Springer Capital – Full Stack Developer Intern
Chicago, IL, USA
- Engineered and backtested multi-factor alpha strategies using Python with internal simulation frameworks, optimizing factor performance across A-share and U.S. markets and enhancing back-end distributed algorithm efficiencies.
- Utilized C++ with object-oriented design to elevate the backtesting engine's performance under high-frequency conditions, achieving simulation throughput improvements of over 35%.
- Processed millions of rows of tick-level data using NumPy/Pandas and developed scalable, back-end factor validation pipelines with a strong focus on efficient resource management.
- Integrated real-time market feeds via REST/WebSocket APIs and optimized MongoDB pipelines for latency-sensitive analytics on both Linux and Windows platforms, ensuring high availability.
Temu – Software Engineer Intern
Beijing, China
- Developed and deployed distributed web crawling and indexing pipelines using Python and C++ to support search and recommendation across 10M+ SKUs, aligning with performance engineering best practices and back-end infrastructure improvements.
- Built full-stack solutions with React and Flask that enhanced application performance, driving a 30% improvement in user engagement through advanced data visualizations and robust data processing logic.
- Reduced data processing latency by 40% by integrating Splunk and F5 Load Balancer APIs, and analyzing log data using Pandas and SQL Alchemy, reinforcing back-end resource management in distributed systems.
OmegaUp – Open Source Developer
Remote
- Redesigned the notification system to support delayed delivery and localization, improving user engagement by 12% while ensuring fault tolerance and CI test coverage in deployment environments.
- Contributed to a Python and Apache Beam ETL pipeline that enhanced test stability and reduced failure rates by 20%, underpinning high-performance back-end data processing.
- Modernized the developer environment using Docker Compose and improved hooks and documentation to support distributed team collaboration in a full-stack context.
- Updated the frontend with JavaScript and Vue to manage single and multi-file submissions, significantly reducing user friction while complementing robust back-end integrations.
Email: cxl0603@gmail.com | Mobile: +1734-882-9840
Projects
Trilearn AI
AI-powered content analysis platform with quiz generation,progress tacker , code review system, and mind map integration. Get instant reviews, error solutions, and explanations.
Search Engine System Design
Built a distributed search engine from scratch with a multithreaded crawler, custom query parser, and relevance-ranking using TF-IDF/BM25—optimized for scale, speed, and accuracy.
MERN Memories
A full-stack social media application built with the MERN stack that allows users to create, share, and interact with memories. Features user authentication, CRUD operations, real-time interactions, search & filter, and responsive design.
Social Media Hub for ChatGPT Users
A community platform for AI enthusiasts to share prompts, collaborate on projects, and explore creative use cases. Features user profiles, prompt marketplace, and integration with LLM APIs.
Coming Soon