
Developed the Magnetic Field Analysis Tools within the EMPHATICSoft/emphaticsoft repository, delivering an Xcode-based solution for scientific data analysis and simulation workflows. The work focused on enabling robust data manipulation, numerical calculations, and visualization of magnetic field datasets, streamlining research processes and reducing manual data preparation. Leveraging Objective-C, C++, and Python, the implementation established an end-to-end analytics workflow that supports both data processing and simulation readiness. The project demonstrated strong proficiency in Xcode development, scientific computing, and disciplined version control, while laying the foundation for future enhancements such as advanced models and visualization dashboards to further accelerate domain insights.
November 2024 highlights: Delivered the Magnetic Field Analysis Tools (Xcode-based) enabling data manipulation, numerical calculations, processing, and visualization of magnetic field data. This feature directly supports scientific data analysis and simulation workflows, reducing manual data preparation and turnaround time for research. The work lays the groundwork for additional models and visualization dashboards, strengthening our analytics capability and accelerating domain insights. Technical execution demonstrates strong macOS/Xcode tooling, Swift/Objective-C proficiency, numerical methods, and data visualization practices, backed by disciplined version control (commit 93f7446911b93adf96f077a847054ddbfebad742).
November 2024 highlights: Delivered the Magnetic Field Analysis Tools (Xcode-based) enabling data manipulation, numerical calculations, processing, and visualization of magnetic field data. This feature directly supports scientific data analysis and simulation workflows, reducing manual data preparation and turnaround time for research. The work lays the groundwork for additional models and visualization dashboards, strengthening our analytics capability and accelerating domain insights. Technical execution demonstrates strong macOS/Xcode tooling, Swift/Objective-C proficiency, numerical methods, and data visualization practices, backed by disciplined version control (commit 93f7446911b93adf96f077a847054ddbfebad742).

Overview of all repositories you've contributed to across your timeline