I'm Deyi — an AI/ML engineer based in Waterloo, Ontario.
My journey into the world of silicon and neural networks didn't start in a traditional computer science lab. For years, I navigated the physical world as a Railway Engineer in China, managing the complex systems that move millions of people across vast distances. It was a career built on steel, precision, and heavy infrastructure.
However, the pull of the digital frontier was irresistible. I saw how the logic of systems I built for trains could be translated into the logic of intelligence. A pivot across oceans and disciplines led me to Canada, where I traded track blueprints for model architectures.
Today, I bridge the gap between abstract research and production-grade AI. Moving from the tangible weight of locomotives to the ephemeral weight of transformer layers has been the most challenging and rewarding journey of my life.
[User Intent]
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[ Thrive in AI ] 2015 Railway engineer
2018 Decided to pivot
2020 Moved to Waterloo
2022 First production ML code
2024 RAG systems at scale
2025 AWS AI Practitioner
2026 Now
What I Work With
In the current landscape of rapid AI advancement, I focus on building robust, scalable systems. My daily toolbox involves architecting with LangChain and Python, orchestrating workflows using Anthropic and OpenAI APIs, and deploying across AWS infrastructure. On the front end, I enjoy building intuitive interfaces with React and TypeScript to make complex AI agents accessible to users.
Beyond Code
When the screen goes dark, you'll likely find me on the slopes. Snowboarding in Ontario winters offers a different kind of flow state than debugging a model. I also harbor a nostalgic obsession with childhood collectible cards — remnants of a time when "data" was something you could physically hold and trade.
Want to chat? Find me on GitHub, X, or drop me an email.