Zixi Cai is an AI Product Manager and final-year Oxford student with eight years of cross-functional experience building and scaling products at Alibaba, SenseTime, ByteDance and multiple Gen-AI startups. She blends product growth, design instincts, and hands-on technical chops—evidenced by back-end contributions to a C/C++ PC demo repo where she improved P2P file transfer reliability by redesigning message and bubble ID handling. Comfortable moving between marketing, investment analysis, and product roles, she has driven large-audience events as President of the Oxford China Forum and shipped product initiatives across research-led and consumer-facing teams. Her background in fine arts informs a user-centric approach to AI product design, while her internships at VC-backed startups sharpened her growth and go-to-market sense. Based in Oxford with multinational experience across China and the UK, she focuses on turning generative AI experiments into product outcomes that scale.
8 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at Shenzhen Foreign Languages School
Bachelor of Fine Arts - BFA, Fine/Studio Arts, General, Bachelor of Fine Arts - BFA, Fine/Studio Arts, General at University of Oxford
Contributions:25 commits, 9 PRs, 8 pushes in 1 year 3 months
Contributions summary:Zixi primarily worked on modifying the client-side message ID and bubble ID for P2P file transfer messages. They changed the client message ID from the session ID to a UUID and adjusted how bubble IDs are created within the chat window for custom file transfer messages. Additional changes include optimizing the logic for identifying and handling P2P messages, including adjustments to the session data handling and database query methods. The commits also include additions to handle session changes.
Contributions:197 commits, 2 PRs, 154 pushes in 1 year 6 months
starcraftneteasenim-langnimsdk
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