I’m a data engineer and AI enthusiast with a background spanning health tech, life sciences, and mission-driven startups. I currently work at Dana-Farber Cancer Institute, where I develop scalable data pipelines and integrate cloud solutions to support cancer research and clinical analytics. Prior to this, I worked at AstraZeneca and NEU’s Precision Medicine Lab, where I helped build machine learning infrastructure and applied NLP to biomedical datasets.

My focus is on building systems that make data more accessible, actionable, and intelligent—particularly in high-impact domains like healthcare. I’m especially interested in the intersection of AI, ethics, and infrastructure: how we build responsible, real-time systems that scale, support collaboration, and deliver meaningful insights.

Beyond work, I’m passionate about community-driven innovation. I lead workshops on AI for social good, volunteer as a mentor in STEM education programs, and recently launched a project using LLMs and voice tech to improve access to medical information for underserved communities.

Whether I’m optimizing an ETL pipeline or brainstorming product ideas with founders, I thrive at the intersection of engineering, empathy, and impact.