Summary
Shayan Khan is a Staff Software Engineer based in Zurich with eight years of experience building large-scale, full-stack systems at Google and DeepMind, focused recently on Gemini and multimodal features like Canvas and Deep Research. He blends deep technical craft—Java, C++, TypeScript, and platform/tool integration for model-driven systems—with strong, deliberate communication skills that help align technical teams and non-technical stakeholders. A Carnegie Mellon graduate who also taught graduate-level data structures and algorithms, he brings both pedagogical clarity and production experience to complex engineering problems. At Google he led teams shipping high-profile Gemini features and worked on Extensions to enable tool use, demonstrating a knack for turning research capabilities into usable products. He’s motivated by technology that reshapes human interaction, pairing pragmatic engineering with an emphasis on concise, stakeholder-friendly discourse. Colleagues describe him as someone who pairs algorithmic rigor with a refreshing sense of clarity and occasionally, humor.
8 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree Economics Computer Science Mathematics, Bachelor’s Degree Economics Computer Science Mathematics at The University of Texas at Austin
Master's Degree Information Systems Software Engineering, Master's Degree Information Systems Software Engineering at Carnegie Mellon University
English, Bengali, Spanish