Data Scientist & AI Engineer
Building intelligent systems at the intersection of artificial intelligence and data infrastructure. Currently exploring the applications of large language models in real-world applications while maintaining a strong foundation in data engineering.
I am a graduate of Syracuse University with a master's in Applied Data Science, with pathways in Artificial Intelligence and Data Pipelines & Platforms. My journey in data science began during my undergraduate studies at St. John Fisher University, where I developed a strong foundation in statistical reasoning and computational thinking.
My academic work has been complemented by professional experiences at CooperVision and Tessy Corporation, where I've applied data science concepts to production systems. I'm currently working as a Graduate Student AI Researcher, developing adaptive AI resources for education.
What drives me is the opportunity to translate complex data into actionable insights and build systems that are both technically sound and user-focused. Whether it's designing data warehouses, developing machine learning models, or creating AI-powered applications, I'm passionate about creating value through data.
Built a multi-agent AI application to provide personalized recipe recommendations based on user dietary goals and preferences. This was the final project for the Building Human-Centered AI Applications course.
Developed a comprehensive tutorial on utilizing large language models to produce smaller, specialized models through knowledge distillation. Presented findings at a symposium at the end of the NLP course.
Built a comprehensive data warehouse pipeline using Snowflake, dbt, and Power BI to analyze movie performance metrics from IMDb data. Designed business metrics and KPIs from the start to ensure meaningful insights.