Summary
Zhenshan Jin is a Senior Software Engineer with a decade of experience building scalable, production-grade systems across startups and cloud-scale teams. He specializes in distributed computation, serverless architectures, and ML infrastructure—most recently contributing to Amazon SageMaker and broader AWS services. As an early engineer at Daisi, he designed a server-less distributed task queue, RPC layer, and modular knowledge-graph management, showing a strong full-stack and systems mindset paired with NLP and document-discovery experience. His academic background in statistics and hands-on work in neural networks and brain-signal analysis give him a rare mix of rigorous data-science foundation and practical engineering discipline. Colleagues know him for steady problem-solving—summed up by his GitHub credo “be calm and keep learning”—and for turning ambiguous ideas into reliable, maintainable products.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree Statistics, Bachelor's degree Statistics at Shanghai University of Finance and Economics
Exchange student Marketing/Marketing Management General, Exchange student Marketing/Marketing Management General at KEDGE Business School
Master's degree Statistics, Master's degree Statistics at Rice University
Chinese, English