At Qwen AI, I design and deploy scalable backend systems for AI model evaluation workflows and distributed processing. I build RESTful APIs and full-stack applications with Python, FastAPI, Next.js, PostgreSQL, and Redis while improving real-time system performance.
Previously at MOWS, I engineered backend services, processing pipelines, and training infrastructure for large-scale AI data systems. I’ve supported AI evaluation, debugging, infrastructure reliability, and full-stack products for SME clients.
My earlier market-data work combined SQL, Python, forecasting, and reporting to improve prediction accuracy by 20%. I work fluently in English, Chinese, and Portuguese.
