I build machine learning pipelines, dashboards, and LLM apps that turn messy data into decisions — backed by a maths and engineering foundation.
I'm a data scientist and computational linguist with a maths and engineering background. I build systems that hold up in production, from framing the problem to modelling data and shipping tools people actually use.
I've cut government document review from hours to minutes with NLP, built Power BI models that sharpened forecasting and workforce planning, and shipped LLM apps for summarization and moderation. I'm now after a data science or ML role in Vancouver.
Roles across data science, analytics, and engineering.
ML and NLP focus: Supervised/unsupervised learning, parsing, sentiment analysis, and machine translation with projects in biomedical summarization, LLM pipelines, and corpus annotation.
Completed five graduate-level (800) maths courses, including Stochastic Processes, Information Theory, and Stochastic Calculus for Mathematical Finance.
Open to data science and ML roles in Vancouver and remote. Hiring, or just want to talk ML and NLP? Say hello.