Yi Zhang

Available to hire

I am an AI engineer with an MSc in Physics and advanced postgraduate training in AI and Computer Science.

About

I am an AI engineer with an MSc in Physics and advanced postgraduate training in AI and Computer Science. I design and build scalable agentic AI systems and retrieval-augmented generation (RAG) solutions, with hands-on experience delivering production-grade AI applications powered by robust DevOps practices. I focus on practical, scalable, and generalizable AI solutions and enjoy translating frontier agentic AI techniques into reliable real-world systems.

I thrive at bridging research and deployment, building end-to-end pipelines, and collaborating with cross-functional teams to create observable, maintainable AI systems. I am passionate about guardrails, evaluation, and human-in-the-loop workflows, and I actively explore how to make advanced AI capabilities trustworthy and reliable in real-world settings.

  • 3 years' experience
  • Joined January 2026

Languages

  • ChineseFluent
  • EnglishFluent
  • FrenchBeginner
  • GermanBeginner

Industry experience

  • Non-Profit Organization
  • Education
  • Software & Internet
  • Professional Services
  • Government

More experts in Geneva, Switzerland

Work experience· 4 roles

Full Stack AI Engineer · University of ZurichSep 2024 – Sep 2025 · 1 yr 1 mo

Engineered an agentic RAG chat system with LangGraph and FastAPI over indexed knowledge bases and web content, including routing, guardrails, and observability/evaluation via LangSmith; delivered a lightweight conversational frontend.

AI / Data Engineer for Knowledge Systems (Intern) · IFRCMar 2023 – Mar 2024 · 1 yr 1 mo

Developed a prototype GraphRAG solution using Neo4j and FastAPI, integrating entity extraction and text-to-Cypher translation; deployed with Docker on Azure infrastructure. Enabled semantic querying over internal organizational reports for the first time.

Data Intern for Enterprise Data Architecture · IFRCSep 2022 – Mar 2023 · 7 mos

Analyzed enterprise-wide data assets, access protocols, and conceptual data models across the IFRC Secretariat to support organizational data standardization efforts. Contributed to metadata management and conceptual data modeling initiatives to improve data accessibility.

Junior Researcher in High Energy Physics · CERNApr 2018 – Sep 2019 · 1 yr 6 mos

Education· 6

Graduate Studies in Artificial Intelligence · University of Zurich2024 – 2025
Special Student · ETH Zurich2025
Graduate Studies in Computer Science · University of Geneva2019 – 2023
Exchange Student · ETH Zurich2021 – 2022

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