App Developer at Siemens Healthineers (2025-08 – Present)
- Designed and deployed 10+ enterprise automation applications using Python, SQL, and workflow tools, fundamentally transforming operational processes across multiple teams.
- Architected end-to-end solutions that replaced manual, error-prone workflows with scalable, data-driven automation — reducing processing time and improving cross-team efficiency.
- Managed the full software lifecycle independently: requirements gathering, system design, development, testing, deployment, and ongoing maintenance.
- Built robust data pipelines and integrations enabling real-time data flow, intelligent notifications, and automated report generation across enterprise systems.
- Built Power BI reports and dashboards to surface key operational metrics and support data-driven decision-making across teams.
- Partnered with cross-functional stakeholders to define business requirements and deliver high-impact software tailored to operational needs.
- Introduced engineering best practices (code reviews, modular architecture, Agile sprints) to elevate team standards and software quality.
App Developer Intern at Siemens Healthineers (2025-05 – 2025-08)
- Designed and built enterprise-level applications from scratch to automate key company processes.
- Developed and optimized data pipelines and workflows using Python and SQL to accelerate operations.
- Collaborated with stakeholders to define requirements and ensure applications met business needs.
- Owned end-to-end development including architecture, coding, testing, and deployment.
- Followed Agile practices including sprint planning, stand-ups, and structured code reviews.
Data Science Intern at Temple University (2025-01 – 2025-04)
- Analyzed patient data and created visualizations to support active neuroeconomics research.
- Built statistical models and applied data preprocessing pipelines to extract meaningful patterns from health datasets.
Associate Engineer at Hey Mentor LLC (2025-01 – 2025-04)
- Assisted in developing an ed-tech platform and laying the groundwork for a cross-platform mobile application.
- Leveraged Python, Java, JavaScript, and Kotlin to improve infrastructure and resolve engineering issues.
- Enhanced content delivery systems, driving better engagement across the platform's influencer audience.
Independent Research — Machine Learning & Health Data at Temple University
- Researched ML techniques including PCA, clustering, and logistic regression applied to large-scale health datasets.
- Analyzed nutrient deficiency patterns using Python, with emphasis on data preprocessing, feature engineering, and predictive modeling.
Co-Captain & Event Organizer at Bits & Bio Philadelphia (2024-12 – Present)
Volunteer as co-captain of Bits & Bio Philly, a community at the intersection of biology and technology, helping grow and organize one of the city's emerging tech communities.
- Plan, coordinate, and host recurring events centered on technology, biotech, and innovation, fostering connections among students, researchers, and industry professionals.
- Drive community engagement through thoughtful programming that bridges technical disciplines and promotes interdisciplinary collaboration across the Philadelphia tech ecosystem.
Student Ambassador at Montgomery County Community College
Customer Service at Amazon
Business Owner
