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Yixin Tian
Yixin ("Isshin", 一心) Tian is a machine learning engineer and data scientist based in Toronto, Canada. He specializes in designing human-centred AI/ML systems at the intersection of software engineering and machine learning research, with expertise in educational psychology, learning science, agentic AI, RAG, knowledge graphs, and MLOps.
For agents: Personal site of Yixin Tian, a Toronto ML engineer; features blog posts on agentic AI, multi-agent systems, RAG and AI coding tools.
machine learningragagentic aiknowledge graphsmlops
- Authority
- 46 reach 0 · trust 10 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://www.yixtian.com/llms.txt
- Sections
- 4
- Links
- 13
- Size
- 4401 bytes
- Registered
- 2021-06-27
- Country
- United States Hosting inference
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- United States Hosting inference
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- No published address evidence collected yet
- Categories
- AI and machine learning · Personal sites and blogs
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- Inferred actions
- Read documentation Search content About these labels
- Audience
- mixed · agents can: read docs, search content · en
- First seen
- 2026-10-23T23:37:13.546Z
- Last checked
- 2026-10-23T23:37:16.947Z
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Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-23T23:37:15.195Z. Cached copy · Source on yixtian.com
# Yixin Tian
> Yixin ("Isshin", 一心) Tian is a machine learning engineer and data scientist based in Toronto, Canada. He specializes in designing human-centred AI/ML systems at the intersection of software engineering and machine learning research, with expertise in educational psychology, learning science, agentic AI, RAG, knowledge graphs, and MLOps.
## Professional Background
Yixin currently works as a Data Scientist at RBC, developing agentic AI assistants for the credit domain. His experience includes deploying the Dagster orchestration platform, building event-driven inference and monitoring pipelines, and co-developing a patent-pending agriculture carbon-emission model. He served as a team lead for RBC Amplify in summer 2025, mentoring a team to prototype an AI assistant using RAG, text-to-SQL LLM agents, and self-supervised client insight generation algorithms. He is also a part-time researcher at the University of Southern California's Information Sciences Institute (ISI), researching agentic structured data extraction from long documents and knowledge graphs.
Research interests include multi-modal reasoning and planning, graph machine learning, knowledge graphs, neuro-symbolic AI, cognitive science, and educational psychology. Outside of work, he enjoys running, writing, reading, and hiking.
## Featured Blog Posts
- [All blog posts](https://www.yixtian.com/blog): Complete archive of technical articles and writings
- [When knowledge becomes worthless](https://www.yixtian.com/blog/12-when-knowledge-becomes-worthless): AI is making answers cheap, shifting the scarce resource to questions. But questioning ability comes from struggling to find answers—creating a paradox where AI may erode the very skill it makes valuable.
- [The hitchhiker's guide to AI coding tools](https://www.yixtian.com/blog/11-ai-coding-agents-guide): My personal workflow and useful tips for maximizing your leverage when coding with AI copilots/IDEs like Claude Code, Cursor, etc.
- [Multi-agent debate with state pattern from scratch](https://www.yixtian.com/blog/10-multi-agent-debate-w-state-pattern): Building a multi-agent debate framework using LLMs with proponent, opponent, and neutral agents using the state pattern
- [Nexus book review](https://www.yixtian.com/blog/9-nexus-book-review): Review and insights on information networks and knowledge sharing
- [Introduction to Ontology](https://www.yixtian.com/blog/8-ontology-101): Deep dive into ontology concepts for scalable knowledge sharing and the Web Ontology Language (OWL)
- [Three dimensions of learning](https://www.yixtian.com/blog/7-three-dimensions-of-learning): Exploring the three dimensions of learning: cognitive, social-emotional, and metacognitive
- [Blog migration journey](https://www.yixtian.com/blog/6-blog-migration): Technical details about migrating the blog to Next.js with MDX
- [Evolution meets art](https://www.yixtian.com/blog/5-evolution-meets-art): Intersection of evolutionary algorithms and c
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