About Me

Professional

I'm a Lead Data Scientist with 7 years of experience building AI systems that ship — across retail, financial services, and enterprise SaaS. My work sits at the intersection of machine learning, systems design, and client strategy.

I started out in analytics consulting, running A/B tests and building SQL models to answer hard business questions. Over time, I moved deeper into the stack: predictive modeling, ML pipelines, and eventually the emerging frontier of large language model systems — RAG architectures, multi-agent orchestration, and LLM evaluation frameworks.

What I care about isn't the technology itself, but the craft of making it reliable. Anyone can get a model to work in a notebook. Getting it to work at scale, in production, for real users making real decisions — that's the interesting problem.

Right now I'm focused on roles where I can operate close to customers and close to the code: Forward Deployed Engineering and senior Data Science positions where the job is as much about shaping the problem as solving it.


Beyond the Work

I grew up in China and moved to Australia at ten — not speaking a word of English. That experience of having to rebuild yourself in an unfamiliar place, learning everything from scratch, shaped how I think about adaptation and resilience more than anything else. I'm still deeply connected to my Chinese heritage and fluent in Mandarin, and I make a point of staying close to both worlds.

My early twenties were largely spent in motion — living across China, Australia, the UK, Singapore, and now New York. Travel, for me, has never been about the sights. It's about the people, the texture of ordinary life in different places, and what you learn about yourself when nothing around you is familiar.

Outside of work I cook, play a lot of tennis, and have recently picked up pickleball. I hike when I can and snowboard when there's snow. Being in nature resets something that cities tend to wear down. I read in both English and Chinese, and I play chess — chess reliably humbles me the moment I think I'm getting good.

Read more about me →