I’m a Software Engineer / AI Engineer with a B.S. in Computer Science from Robert Morris University and a concentration in Software Engineering.
I build production software and AI systems across full-stack applications, backend and API integrations, LLM and RAG workflows, machine learning, and mobile development. At Business Robots AI, I help build automation products used by businesses for customer engagement, lead handling, and operational workflows.
Feel free to explore my work below, and reach out if you would like to connect.
Concentration: Software Engineering. Graduated May 2026 with a 3.68/4.00 GPA and Dean’s List recognition. Coursework includes Data Structures & Algorithms, Machine Learning, Artificial Intelligence, Object-Oriented Programming, Value Design, and Fundamentals of Software Engineering.
Completed certification covering supervised machine learning foundations, regression, classification, model evaluation, and practical applications.
Built and scaled the core automation platform used by 20+ businesses, developing backend workflows, API and messaging integrations, and production services for customer engagement and lead handling. Designed RAG-powered LLM workflows and contributed to platform growth as the startup raised $100K in funding.
Developed a 3D medical-image processing pipeline using Python, SimpleITK, MATLAB, and ITK-SNAP to process ultrasound volumes and isolate optic nerve structures. Implemented and compared thresholding, classification, smoothing, and active-contour segmentation methods and evaluated results for clinical usability.
Developed Python-based internal tools and data-processing workflows to support automated analysis and business operations. Built and evaluated 5 machine-learning models, improving predictive performance by 20%, and analyzed 1,000+ customer and sales transactions for trends, anomalies, and operational insights.
Managed retail operations, inventory, basic store accounting, customer service, technical support, sales, and day-to-day store performance while balancing long-term work responsibilities with university studies.
Designed and developed responsive websites and portals using HTML5, CSS3, Figma, and MySQL, with a focus on usability, layout quality, and structured data.
Python, JavaScript/TypeScript, SQL, Java, C++
Machine Learning, Generative AI, LLMs, RAG, Prompt Engineering, Computer Vision, scikit-learn, OpenAI API
React, React Native, Next.js, Expo, FastAPI, Django, REST APIs
Pandas, NumPy, PostgreSQL, Firestore, Supabase
AWS, Docker, Git, GitHub, Linux, Jupyter
An AI-powered full-stack learning platform built with Next.js, Firestore, Clerk, Stripe, and the OpenAI API. It transforms user-provided topics into structured flashcards using prompt workflows and structured model outputs, with authentication, payments, persistent data, and production support for free and paid users.
A cross-platform farm management application built with React Native and Expo, featuring authentication and database-driven CRUD workflows. It helps users manage livestock records, health and weight tracking, expenses, and daily farm operations, and was published to the iOS App Store.
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.
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 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.