Wenhao Pei

• Designed and built a browser-native agent runtime from scratch — turning AI chat interfaces into full execution workspaces with 50+ integrated tools
• Engineered custom protocol (ΩHERE/ΩBATCH) solving content fidelity and escaping problems that break standard agent tool-calling pipelines
• Built production automation pipelines: news video generation (AI script → TTS → image gen → FFmpeg → YouTube), tutorial recording, and multi-service orchestration
• Developed Chrome Extension architecture intercepting SSE/WebSocket streams for real-time model output parsing and tool dispatch
• Managed cloud infrastructure (Oracle Cloud ARM servers) with PM2 process management, SSH automation, and Cloudflare Workers deployment
• Technologies: TypeScript, Node.js, Chrome Extension APIs, CDP, FFmpeg, Next.js, MCP Protocol, Python

• Designed and optimized data pipelines using Apache Spark for biomedical research datasets, reducing processing time by 30%
• Developed automated data collection frameworks integrating structured and unstructured clinical data sources
• Built API-based data access infrastructure enabling seamless retrieval for research study teams
• Collaborated with researchers and clinicians to ensure data accuracy and compliance with research data standards

• Led web scraping and API project, directing a team in building scalable data collection pipelines using Python
• Architected end-to-end data workflows integrating multiple external APIs for business intelligence applications
• Mentored team members on version control, code documentation, and reproducible data science practices

• Led development of automated deployment pipelines, reducing deployment time by 50% through workflow optimization
• Designed monitoring dashboards tracking system performance, model accuracy, and data quality metrics
• Developed automated testing and validation processes ensuring data integrity across distributed systems
• Collaborated cross-functionally to identify bottlenecks and optimize workflows

Advanced Statistical Methods, Machine Learning, Data Architecture, Big Data Analytics, Database Management

Interdisciplinary foundation combining creative problem-solving with analytical thinking