Senior Software Engineer @ AWS AI Platforms • Multi-Agent Systems • AI Infrastructure • Enterprise Software Transformation
I build production AI systems that turn LLM and agent capabilities into reliable enterprise platforms.
My current work focuses on agent infrastructure, multi-agent orchestration, tool integration, evaluation, observability, and platform capabilities for large-scale software transformation.
- Agent Platforms
- Multi-Agent Systems
- AI Infrastructure
- LLM Reliability & Evaluation
- Enterprise AI Systems
- Software Modernization Platforms
Enterprise software transformation platform powered by specialized AI agents and agentic workflows.
Public toolkit for building custom AWS Transform agents, including an Agent SDK, MCP server, deployment automation, and registry integration.
Generative AI system for enterprise-scale application modernization and code transformation.
Production AI service for anomaly detection, operational insights, and intelligent cloud operations.
Selected invention areas:
- Quantifiable uncertainty detection in LLM-generated documentation
- Detecting and tracking uncertainty in LLM agent-tool interactions and multi-agent hand-offs
- Adaptive tool disambiguation via semantic similarity and policy modeling
- MCP tool optimization via program synthesis and functional abstraction
Presented Swisscom’s Big Data perspective on network telemetry, covering flow aggregation, BMP, streaming telemetry, schema conversion, and analytics systems.
- Outsourced Proofs of Retrievability — ACM CCS 2014 Google Scholar
Previously built:
- AIOps and anomaly detection systems at Swisscom
- Real-time analytics and network telemetry platforms
- High-performance trading infrastructure in financial technology
- Security research systems for cloud computing
- LinkedIn: https://www.linkedin.com/in/zongren/
- Google Scholar: https://scholar.google.com/citations?user=IIh9txQAAAAJ&hl=en