Leading work in agentic AI and machine learning.

Architected a distributed AI platform featuring GPU resource scheduling and a visual workflow engine. I developed the system from the backend infrastructure to the cloud-native IDE, enabling users to deploy complex AI pipelines as production-ready APIs.

Managed the Django monolith on K8s/AWS and migrated the core task queue handling 50% of all platform traffic. I also re-architected the global feature flag system for real-time updates and decoupled User APIs from the ORM to improve database scalability.

Designed and built a IaaS platform, including centralized PKI and Secret Management services. I also delivered the automation framework that improved API stability and deployment velocity for high-availability environments.

Built the HANA DBaaS, focusing on core telemetry, data migration, and billing services. I used Python and Go to architect high-scale systems for transitioning massive enterprise workloads to the cloud.