Junchen Pan is a software engineer with nine years of experience building data-driven backend systems and AI-enabled automation, currently working on ODSP big data and A/B experimentation at Microsoft in Shanghai. He has hands-on experience designing logistics platforms and scaling operations—driving cancellation rates from 12% to 0.9% and tripling monthly order volume—using TypeScript, Go, MongoDB, message queues, and Redis. Prior roles include integrating invoice-recognition CNN models and chat-robot RPA services at SAP, demonstrating a blend of machine learning, NLP and production REST APIs. A pragmatic builder with a Mathematics BS from the University of Washington, he also leverages LLM retrieval-augmented generation workflows to boost individual productivity tenfold, reflecting an emphasis on practical AI adoption rather than just research.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at 美国华盛顿大学
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