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Benjamin Yee
Entry-Level Full-Stack Software Engineer specializing in AI-driven SaaS
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Entry-level software engineer who has shipped end-to-end product features in a chat application, including a frontend table component plus backend support, then refactored the implementation after client feedback by switching UI libraries. Has production experience combining traditional NLP with an LLM fallback based on confidence thresholds for intent/entity extraction, and is building infrastructure around legacy enterprise APIs (MCP tools) including asynchronous job queues for long-running tasks.
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Key Strengths
- 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
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