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
Data Engineer May 2022 — Present
Ford Motor Company - Design and maintain scalable data pipelines using GCP BigQuery, Vertex AI, dbt Core, and Astronomer Airflow for internal analytics products
- Lead onboarding of new data sources into DBC (Digital Birth Certificate), an agentic AI product that resolves vehicle manufacturing root-cause issues
- Contributed to agentic AI solution that saved Ford an estimated $68M+ in its first two months of operation (Feb–Mar 2026)
- Personally drove $5M+ in cost savings through AI-powered automation and analytics in March 2026
- Collaborate cross-functionally with engineering, product, and business teams to translate complex requirements into data-driven solutions
- Apply prompt engineering techniques with Anthropic Claude API and Vertex AI to optimize AI agent performance
Education
M.S. in Data Science In Progress, 2025–2028
Bellevue University GPA: 4.0 B.S. in Data Science, Minor in Mathematics 2019–2023
The Pennsylvania State University GPA: 3.65 Achievements
- "Moving the Business Forward" Award — Ford Motor Company (2026)
- Best Overall — Penn State Data Science Hackathon (2023)
- Computer Science Departmental Award — South Fayette School District (2019)
Technical Skills
Cloud & Data
GCPBigQueryDataflowVertex AIdbt CoreAstronomer AirflowLooker Studio
Languages & AI
PythonSQLRPrompt EngineeringAnthropic Claude APIAgentic AIGenerative AINLP
Analytics & Tools
Microsoft Power BIStatisticsMathematicsGitJupyter