Rukun Fan is a founding engineer and technical leader with six years of experience building data platforms, ML-driven features, and payment systems across startups and large tech companies. He led data and Copilot initiatives at Microsoft Viva Glint after shaping Glint’s next-generation data platform at LinkedIn, and now applies that expertise to an ML-driven systematic trading fund. His background spans high-impact production systems—from payment processors and big-data reconciliation at Microsoft and LinkedIn to open-source metadata work and early ML platform prototypes at WeWork—showing a blend of product focus and infrastructure depth. Rukun’s academic work in motion capture and graphics (published in TVCG) hints at a strong research-to-production mindset that surfaces in both engineering and ML applications. Based in Sunnyvale, he combines pragmatic delivery with a curiosity for ML-driven automation that powers both business outcomes and novel technical solutions.
6 years of coding experience
15 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at The University of North Carolina at Chapel Hill
Master's degree, Computer Graphics, Master's degree, Computer Graphics at Zhejiang University
Collect, aggregate, and visualize a data ecosystem's metadata
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