AI Software Engineer building enterprise multi-agent platforms and cloud-native AI infrastructure. My work lives at the intersection of agentic AI, cloud architecture, and safety engineering — translating production-grade research into systems teams actually deploy.
- Architecting agentic AI platforms on AWS ECS Fargate with verify-then-commit safety controls
- Designing multi-agent supervisor systems with RBAC-enforced tool execution and immutable audit logging
- Provisioning cloud infrastructure with Terraform — ECS, RDS, KMS, WAF, S3
- Building RAG pipelines and AI assistants with LangChain, LangGraph, and Pinecone
- B.S. Computer Science, SUNY Oneonta · Minor in Math · GPA 3.75 · Magna Cum Laude
A multi-agent orchestration framework built around a verify-then-commit safety model — agents stage tool calls as atomic, time-limited proposals, humans approve, and only then do writes commit. Structured logging and native MCP server integration.
Stack: Python · LangChain · MCP · Pydantic · JSON Schemas

