Chun

Xue

• Built AI-powered crypto monitoring and alert systems integrating real-time market analytics and Telegram automation. • Built real-time recommendation systems using scikit-learn and AWS SageMaker, increasing user engagement by 25%. • Developed and deployed machine learning models using Python, PyTorch, and TensorFlow, improving prediction accuracy by 30%. • Implemented NLP pipelines using Hugging Face Transformers to analyze unstructured text, reducing manual processing by 50%. • Developed smart contracts using Solidity and Rust-based Arbitrum Stylus SDK. • Engineered asynchronous Python systems for market scanning, volatility tracking, and token analytics. • Designed scalable backend architectures for crypto data processing and automated notification pipelines. • Integrated external APIs including CoinGecko, exchange APIs, and AI model providers. • Created automated workflows for token tracking, trading alerts, and AI-assisted market analysis. • Deployed production-ready services usi

• Architected and implemented scalable web applications using React, Node.js, and MongoDB, boosting user engagement by 30%. • Built production-grade RESTful APIs and integrated third-party services, cutting manual data entry by 50%. • Led migration from a monolithic system to microservices architecture, achieving 40% faster load times and higher reliability. • Optimized SQL/NoSQL queries, enhancing application performance by 25%. • Developed responsive UI/UX features that increased mobile traffic retention by 20%. • Implemented CI/CD pipelines with GitHub Actions and Docker, reducing deployment times from 2 hours to 10 minutes. • Collaborated with product teams under agile sprints, achieving 100% on-time delivery across 6 consecutive releases.

• Architected and deployed high-performance RESTful APIs in Node.js/Express, handling 100k+ daily requests with zero downtime. • Implemented JWT-based authentication and role-based access control, elevating application security and compliance. • Refactored legacy backend systems, reducing bugs by 35% and improving maintainability and scalability. • Integrated cloud storage and serverless functions on AWS/GCP for high-volume, scalable document processing. • Built dynamic dashboards using React.js and Redux, increasing analytics visibility for stakeholders. • Optimized frontend performance through code-splitting, lazy loading, and optimization, reducing load times by 50%. • Implemented cross-browser compatible UI components, cutting front-end bug reports by 30%. • Developed interactive real-time charts and visualizations with D3.js and Chart.js for actionable insights.