SecLM Team
Redesigned error handling and response templating for security APIs, reducing silent failures and increasing response correctness by 22%
Refactored main agent reasoning query pipeline to integrate with Google’s modular agent framework, reducing legacy fragmentation and improving ease of use for customers
Rebuilt real-time monitoring metrics for automatically executed LLM agent queries, refactoring existing evaluation pipelines to integrate with a modular agent framework and surfacing reasoning failures and response degradation patterns across teams
Proactively identified deprecated API endpoints and organized a cross-functional effort to migrate functionality to newer systems, reducing warning and error logging noise