Building powerful software and innovative applications, I specialize in full-stack development, cloud computing, and AI-driven solutions. I’m driven to create projects that matter and to become one of Arizona’s top software engineers.
Years of Experience
Happy Clients
Completed Projects
I’m Daniel J. Berg, a computer science student at Arizona State University passionate about building impactful software. I specialize in full-stack development, cloud computing, and AI & machine learning, and I’m focused on creating projects that make a difference. My goal is to grow as a software engineer, contribute to meaningful projects, and secure an internship that brings me closer to becoming one of Arizona’s top software engineers.
I build complete web applications from frontend interfaces to backend services, integrating databases, APIs, and responsive design with clean, maintainable code.
I develop intelligent systems that analyze data, identify patterns, and generate predictions using practical machine learning and statistical techniques.
I deploy and manage applications on cloud platforms, focusing on scalability, reliability, environment configuration, and production-ready deployment.
Designing and implementing a full-stack task management web application using React, Node.js, JavaScript, HTML, and CSS, with a clean, responsive UI and intuitive UX. The system integrates both NoSQL (MongoDB) and SQL (PostgreSQL) for efficient data storage and querying, exposes RESTful APIs for task and user management, and incorporates AWS cloud services for backend integrations (non-deployment). The application supports secure user authentication, task creation and organization, due-date tracking, and scalable handling of 100+ tasks per user, demonstrating strong full-stack engineering, database design, and real-world application architecture.
A full-stack web app built with Python and Flask that allows users to securely log expenses, store data in a SQL database, and view weekly spending totals and category breakdowns through interactive visualizations. The project features user authentication, real-time data aggregation, a responsive UI, and is configured for cloud-ready deployment, demonstrating end-to-end web development and data analysis skills.