Problem
Enterprise AI workflows — multi-agent pipelines, evaluation layers, orchestration systems — are invisible by default. Teams building on top of them need interfaces for monitoring, debugging, and interacting with what's running.
What I built
Developed full-stack AI applications using Python with FastAPI on the backend and React and Next.js on the frontend. These applications surface monitoring dashboards, evaluation interfaces, and interaction layers over the underlying AI workflows.
Also contributed to distributed, multi-region AI deployments and established architectural patterns for evaluation, validation layers, and system observability to improve reliability and maintainability of production AI systems.
Impact
- Production interfaces used by enterprise teams to monitor and interact with live AI workflows
- Established reusable architectural patterns for evaluation and observability across multiple projects
- Contributed to multi-region deployment reliability