I am a Postdoctoral Research Fellow at the University of British Columbia (UBC) and BC Cancer, developing agentic AI systems for healthcare, including conversational assistants for cancer patients and clinicians. My research focuses on NLP model training and the design, evaluation, and safety of AI systems in high-stakes clinical settings.

As CTO and Technical Lead at LuxeFactor AI, I lead system architecture, technology selection, production validation, and secure AI adoption. I guide engineering and machine-learning teams, support hiring and knowledge transfer, and ensure evaluation and deterministic scoring systems follow approved methodologies.

At the Vector Institute, I have advised more than 15 companies on production agentic AI, including multi-hop RAG, tool-augmented agents, and reliability evaluation. Previously, as an Applied Scientist Intern at Amazon, I developed LLM-as-judge and LLM-as-jury pipelines that increased contact deflection by 2% and saved approximately four weeks of manual review.

My expertise spans NLP, agentic AI, and recommender systems, including model fine-tuning, retrieval, orchestration, and evaluation. I work with Python, PyTorch, Hugging Face, LangChain, and LangGraph, and deploy systems using AWS, GCP, Elasticsearch, and OpenSearch.

My research has appeared in ACM Computing Surveys, ACM RecSys, and IEEE venues.