I’m a PhD-trained data scientist building and evaluating reliable machine learning and AI systems. I combine applied ML, LLM applications and evaluation, experimentation, causal inference, and behavioral analytics to help teams build useful products and understand their impact.
- 🛠️ ML and AI systems: Predictive models, LLM applications, retrieval-augmented systems, and agentic workflows.
- 📏 Evaluation and measurement: Rigorous approaches that connect model quality, system behavior, human judgment, product metrics, and experiments.
- 🧭 Behavior and decision-making: Causal inference, behavioral modeling, and analytics that reveal what changes outcomes and where products can better serve people.
- 🔬 Research: Interpretable AI, learner modeling, and equitable educational technology.
I’m especially interested in applied data science, machine learning, and AI roles where rigorous measurement and human impact matter. Researcher at heart, builder in practice.