I’m a senior software engineering student at Robert Morris University and a Startup Engineer at Business Robots AI. I enjoy building useful digital products with full-stack development, AI automation, and data analysis.
My experience includes building AI-powered tools, analyzing business data, developing responsive web applications, and working directly with customers in fast-paced environments. I like creating practical solutions that improve user experience and solve real problems.
Feel free to explore my work below, and reach out if you would like to connect.
Dean’s List. Focus on software engineering, AI, full-stack development, and data systems. Coursework includes Machine Learning, Data Structures, Object-Oriented Programming, and Software Engineering Principles.
Learned core machine learning concepts including linear regression, classification, model evaluation, and practical applications for real-world problems.
Build AI-powered automation tools and workflow solutions that help businesses improve lead handling and customer engagement. Contribute to product development, technical implementation, and fast feature delivery in a startup environment.
Processed and analyzed 3D ultrasound data using Python, SimpleITK, MATLAB, and ITK-SNAP. Evaluated image segmentation methods and documented findings for clinical and technical review.
Created reports, dashboards, and visualizations using Excel, Power BI, and Python to improve business performance visibility. Worked with cross-functional teams to analyze operations, track metrics, and support decision-making.
Manage retail operations while selling phones, phone numbers, plans, and accessories. Maintain inventory, handle basic store accounting, support customers with technical and service needs, and help drive daily store performance.
Designed and developed websites and portals using HTML5, CSS3, Figma, and MySQL. Built responsive layouts and structured databases to improve performance and usability.
A full-stack habit tracking web application built with Next.js and Firestore. It features a calendar-based interface for tracking daily goals, monitoring progress, and improving accountability. Includes software documentation such as SRS, SWDD, and Test Plan.
A full-stack web application built with Next.js, Firestore, Clerk, Stripe, and the OpenAI API. Users can generate flashcards from any topic, review them interactively, and access premium features through authentication and payment integration.
A data analysis project focused on calendar patterns and team rhythms. I developed Python-based methods to analyze meeting data, identify collaboration patterns, and detect changes in team operations over time.
A cross-platform mobile app built with React Native and Expo for cattle and farm management. It helps users track livestock records, monitor weight gain and performance, and manage farm-related expenses through a practical and easy-to-use mobile interface.
A Raspberry Pi based spirometer system where I built the software side end to end, including sensor calibration, real-time airflow and volume processing, session logging, and a child-friendly therapy game interface. The project combined Python, hardware integration, live data handling, and UI design to turn breathing exercises into an interactive rehabilitation tool.