Professional work · Current
RestoreAI: production platform and AI infrastructure
- Result
- Reduced dev/staging AWS spend from roughly $700/day to $200/day through GPU right-sizing, workload placement, and unused-resource cleanup.
- Infrastructure ownership
- I own production infrastructure on Nebius and dev/staging on AWS, including databases, networking, and GPU-backed AI workloads.
- Defined deployment workflows
- Built isolated development, staging, preview, and production environments so product engineers can ship through defined workflows. Container build-and-deploy pipelines include health checks and rollback paths.
- AI workload operations
- I operate GPU-backed video search and summarization workloads, testing model configurations and GPU sizing against requirements with NVIDIA NIM/VSS.
- Release safety and recovery
- Improved release safety and recovery through database restore validation, vulnerability scanning, and operational runbooks.
- Technical SOC 2 Type II preparation
- I lead technical preparation and evidence automation across AWS, Nebius, GitHub, and Drata. This is preparation work, not completed certification.
