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Qinghong Fan

Entry-level Software Engineer specializing in AI systems and backend infrastructure

Calyan TechnologiesUniversity of Minnesota Twin CitiesSaint Paul, MN1 Years ExperienceEntry LevelWorks On-Site

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About

Built a Personal Finance Copilot, a full-stack AI assistant for transaction search, spending analysis, subscription tracking, and grounded financial Q&A, with multi-step tool-calling orchestration and hybrid retrieval/memory architecture. Stands out for using AI coding agents aggressively to accelerate planning and implementation while maintaining strong ownership of system design, testing, security, and reliability.

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Key Strengths

  • Thoughtful AI-assisted engineering with strong human validation
  • Design of multi-step tool-calling AI systems
  • Full-stack AI product development in personal finance
  • Hybrid retrieval and memory architecture using PostgreSQL and pgvector
  • Strong testing and reliability focus with pytest and code review
  • Effective use of multi-agent workflows for architecture, implementation, review, and testing
  • Practical evaluation of AI trends through hands-on experimentation

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Experience

Software EngineerCalyan Technologies · Nov 2025 – Present
Software Engineer InternUniversity of Minnesota · Jul 2025 – Nov 2025internship

Education

University of Minnesota Twin Citiesmaster, Computer Science (2025)
University of Minnesota Twin Citiesbachelor, Computer Science (2023)

Languages

English

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Qinghong FanEntry-level Software Engineer specializing in AI systems and backend infrastructure