Jan Jannink is a software engineer with nine years of experience building scalable systems and infrastructure, focused on big data, ML infrastructure, and startup operations. Based in Menlo Park with Swiss roots, he combines hands-on engineering with an eye for production-grade scalability and operational simplicity. He excels at turning research-grade ML workflows into reliable, deployable services and designing data platforms that grow with product needs. Jan’s background emphasizes end-to-end system thinking—from infrastructure and data pipelines to orchestration and performance tuning—making him a pragmatic partner for fast-moving teams. An alum of Stanford, he pairs academic exposure with startup pragmatism and a global perspective.
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