Benjamin Yee

About

Entry-level backend engineer currently building AI infrastructure for a legal-tech product, including message APIs between frontend and LLMs and MCP-based integrations to enterprise legal systems. Stands out for owning backend components end-to-end in an ambiguous early-stage environment and for resolving a critical pre-demo bug under intense time pressure.

Key Strengths

• Owned backend API development end-to-end for an AI legal product
• Experience integrating backend services with LLM-driven workflows
• Understands availability vs. consistency tradeoffs in system design
• Builds end-to-end tested AI/backend integrations
• Effective debugging under tight deadlines
• Comfortable operating in ambiguous early-stage environments
• Requirements gathering and MVP scoping
• Owned end-to-end feature delivery across frontend and backend
• Pragmatic tradeoff decision-making (speed vs. functionality) and rapid iteration based on client feedback
• Library/architecture refactoring in response to evolving requirements (switched table libraries)
• Designed hybrid NLP + LLM fallback workflow using confidence thresholds to improve accuracy/cost
• Experience integrating with legacy/undocumented enterprise APIs and coordinating with API teams to improve responses
• Implementing asynchronous job queues to handle long-running jobs and improve user experience

Experience

Education

Skills

Languages