Zongren Liu

About Zongren Liu

I lead the design and implementation of large-scale generative-AI and agentic systems at Amazon Web Services, focusing on reliability, uncertainty-aware orchestration, and adaptive workflow automation.My work bridges research and production—spanning multi-agent orchestration, LLM tool integration, and model-driven transformation.I’ve authored several U.S. patents on uncertainty tracking, agent hand-off integrity, and AI-tool optimization, shaping how enterprise-scale LLM platforms evolve toward measurable reliability and controllability.

Experience

1. Senior Software Engineer

   Amazon Web Services (AWS)

   Oct 2019 — Present · Seattle, WA, US

   Lead design and implementation of AWS Transform, Amazon Q Code Transformation, enabling enterprise-scale generative-AI code migration workflows.• Delivered AWS DevOps Guru, a production AI service for automated anomaly detection and operational insights.• Spearheaded multi-agent orchestration frameworks integrating LLMs with AWS toolchains for large-scale system transformation.• Authored and co-invented multiple U.S. patents on uncertainty quantification, multi-agent orchestration, and adaptive AI infrastructure—advancing reliability and interpretability in generative-AI platforms.• Collaborated cross-org with AWS Research and Partner teams to standardize LLM agent reliability metrics.

Education

• Harbin Institute of Technology

  BSc, Computer Science and Technology

• EPFL

  MSc, Computer Science

  2012 — 2015

Skills

• Java
• Scala
• Algorithms
• C
• Testing
• Matlab
• Javascript
• Xml
• Sql
• Linux
• Distributed Systems
• Software Development
• Python
• Software Engineering
• C++
• Html5
• Unix