Building production-grade AI systems — agentic workflows, RAG pipelines, and LLM evaluation infrastructure.
Specialized in designing agentic AI systems with structured reasoning, retrieval grounding, and evaluation frameworks.
Built an OpenEnv-compliant system converting natural language into executable workflow DAGs with structured validation and grading.
Supervisor-based multi-agent system with memory, planning, and tool-use (ReAct-style architecture).
Built retrieval-augmented pipeline with semantic search and multi-turn context tracking.
Multi-agent automation system for structured document parsing and workflow execution.