At Appen, I trained and evaluated AI models on mathematical reasoning, designed complex multi-step questions, and validated responses for correctness and mathematical rigor. I also reviewed AI-generated responses, ranked outputs, and provided structured feedback to refine AI behavior.
At Micro1 AI, I created and refined written content for AI training datasets, and at Telus International AI, I annotated text and reasoning-based datasets. I contributed to a cancer detection application by writing a Python preprocessing pipeline and building an evaluation pipeline for a scikit-learn classifier. I’m currently a PhD candidate in Computer Science at the University of Washington, with a background in mathematics teaching and geospatial analysis.
