Yixin Tian [田毅鑫]

Hey! I'm Yixin ('Isshin'), a Computer Engineer and Data Scientist based in Toronto, Canada, developing human-centred AI systems at the intersection of Software Engineering and AI Research. My work focuses on advancing theoretical understanding and implementation across Human-AI Interaction, Multi-Agent Systems (MAS), Learning Science, Semantic Technologies, and MLOps.

Currently, I work as a Data Scientist at Royal Bank of Canada (RBC), where I focus on developing agentic AI assistants for the credit domain, leveraging DSPy, LangGraph, and tool-augmented LLMs. In the summer of 2025, I served as a team lead for RBC Amplify, mentoring a team of four to rapidly prototype an AI assistant for account managers using retrieval-augmented generation (RAG), text-to-SQL LLM agents, and automated client insight generation powered by anomaly detection. My previous experience spans deploying the open-source Dagster data orchestration platform, building event-driven inference and monitoring pipelines, and co-developing a patent-pending agriculture carbon-emission model into production.

Outside of work, I conduct research at USC's Information Sciences Institute (ISI) specializing in knowledge graphs, LLM agents, and agentic text-to-JSON extraction from long documents.

My passion lies in exploring new modes of interaction in complex networks comprising both humans and AI agents. By expanding the effective communication bandwidth across entities within these networks, I aim to 1) augment human cognition and 2) understand the dynamics of multi-agent systems in real-world collaborative and educational settings. When I'm not building or researching, I enjoy running, writing, reading, and being with nature.