Applied AI Engineer focused on operational AI systems, retrieval workflows, agent orchestration, and context-aware tooling.
Currently working on internal AI automation systems, MCP-integrated workflows, and multi-agent experimentation.
Multi-agent research and retrieval system using contextual search, structured execution pipelines, and vector retrieval workflows.
Experimental multi-agent simulation environment exploring persistent memory, graph-based retrieval workflows, and long-horizon context systems.
Context-aware retrieval and conversational AI workflows using local and API-based inference pipelines.
- Operational AI Systems
- Retrieval & RAG Pipelines
- Agent Workflows
- Workflow Automation
- Context-Aware Tooling
- FastAPI Backend Services
- MCP-Integrated Systems