Objective
Data Engineer with hands-on experience building agentic AI solutions, scalable data pipelines, and predictive models. Passionate about applying AI innovation to drive measurable impact at scale.
Experience
Ford Motor Company
- Designed and maintained scalable data pipelines using GCP BigQuery, Vertex AI, dbt Core, and Astronomer Airflow
- Led the onboarding of new data sources into the Digital Birth Certificate (DBC) product, enhancing vehicle manufacturing insights
- Contributed to an AI solution that saved Ford over $68M in its initial two months of operation
Ford Motor Company
- Developed a notification manager for data pipelines within the quality.ai team
- Created and maintained a data pipeline for root cause analysis in vehicle manufacturing
- Collaborated with cross-functional teams to enhance data processing efficiency and reliability
Hillman Cancer Center
- Conducted cancer research at a state-of-the-art oncology research facility
- Coded and debugged molecular visualization software to simulate complex molecule interactions
- Selected as 1 of 2 students (out of ~250) from one of Pennsylvania's highest-performing high schools
Education
M.S. in Data Science — Bellevue University GPA: 4.0
In Progress, 2025–2028
B.S. in Data Science, Minor in Mathematics — The Pennsylvania State University GPA: 3.65
2019–2023
Achievements
"Moving the Business Forward" Award — Ford Motor CompanyMar 2026
Best Overall — Penn State Data Science HackathonApr 2023
Intern City of Tomorrow Challenge: Future Mobility — High AchieverAug 2022
Computer Science Departmental Award — South Fayette School DistrictJun 2019
Eagle Scout Award — Boy Scouts of AmericaMay 2018
Technical Skills
Cloud & Data: GCP, BigQuery, Vertex AI, dbt Core, Astronomer Airflow
Languages & AI: Python, SQL, Prompt Engineering, Agentic AI, Anthropic Claude API
Analytics & Tools: Statistics, Data Pipeline Design, Root Cause Analysis, Git, Bioinformatics