Early AI engineer at a seed-stage startup building an agentic execution system for global trade, owning the agent harness (tool routing, policy, memory) and the context graph it reasons over. Core stack is Python/TypeScript on AWS/GCP, with LLM agents, MCP, and graph databases like Neo4j — focused on making agents reliable enough to execute real financial actions.
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