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Suqing Liu

Junior Applied AI Software Engineer specializing in LLM agents and RAG systems

MetaMcMaster UniversityNew York, NY2 Years ExperienceJunior LevelWorks On-Site

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About

Engineer focused on AI-powered developer automation and agent-driven software delivery, with experience spanning customer-facing edtech and internal tooling. They describe building a K-12 chatbot-based learning platform for the York Region public school system and creating internal automations like code-generation pipelines and diff summarization tools adopted across teams, alongside work on legacy encrypted messaging systems at Instagram/Meta.

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Key Strengths

  • built and delivered an AI-assisted K-12 learning platform for a public school system
  • strong client-facing requirements gathering with non-technical stakeholders
  • production use of AI agents for software development, testing, and deployment
  • test-driven validation approach for non-deterministic AI-generated code
  • experience navigating and modifying legacy internal systems at Meta/Instagram
  • designed scalable internal automation adopted across multiple teams
  • created an automated diff summarizer to preserve codebase context for engineers and agents
  • pragmatic product mindset balancing speed, testing, and production rollout

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Experience

AI-Native Engineer, Applied AIMeta · Apr 2026 – Present
Software Engineer, Server Development for End-to-End EncryptionMeta · Jan 2026 – Apr 2026
Research Assistant / AI Full-Stack DeveloperUniversity of Toronto CORE Lab · Mar 2025 – May 2025
AI-Native Product Engineer InternWander Social · Oct 2024 – Feb 2025internship

Education

McMaster Universitymaster, Computing and Software (2025)
University of Torontobachelor, Computer Science (2024)

Languages

English

Publications

1 publication

Artificial IntelligenceLLM systemsRAGModel servingApplied machine learning

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Suqing LiuJunior Applied AI Software Engineer specializing in LLM agents and RAG systems