Our Team

Meet the people behind FreedomLedger

We are a collaborative team focused on building tools that make financial wellness more accessible. Learn a little more about the folks supporting your journey.

Will

William Campregher is a Data Science student at the University of Utah, graduating in December 2025 with a 3.99 GPA. He is preparing to launch his career later this month as a Terminal Data Analyst at Long Beach Container Terminal. A strong believer in collaboration, William thrives in team based settings where diverse ideas come together to solve technical problems. Currently, his primary focus is his senior capstone project: an advanced finance web application. On this project, he worked to deploy an AI agent for financial insights and designed automation for data driven financial reporting. He combines this academic focus with past industry experience gained while interning at Micron Technology, where he supported engineering teams by building automation tools and dashboards. William's technical toolkit includes Python, SQL, Tableau, Azure, and various machine learning libraries. Beyond this, he is interested in machine learning and using data as a means of telling stories. Email: willcampregher@gmail.com

Ford

Ford Luken is currently an undergraduate at the University of Utah, School of Computing, pursuing a degree in Computer Science and Fintech, with graduation in December 2025. His academic focus includes full-stack development, building both frontend and backend systems from scratch, as well as machine learning and data analysis for classification and decision-making. Ford has led notable projects such as FreedomLedger, a financial planning and budgeting web application, where he recruited and managed a team to build a robust system featuring budget creation, group financial management, real-time networth calculation, and tax liability estimates. He has also completed projects like the AI Pacman Agent, implementing advanced algorithms for optimal decision-making in gameplay, and an educational Blackjack simulator designed to teach strategy fundamentals. His technical skills span Java, Python, JavaScript, React, Django, FastAPI, D3.js, AWS, and Azure, as well as proficiency in machine learning tools such as Scikit-Learn PyTorch. Ford’s interests center on financial technology, AI-driven solutions, and innovative applications for personal and group financial management, exhibiting strengths in technical leadership, team collaboration, and agile project development. You can contact Ford at fordluken@gmail.com

Max

Max is an undergraduate at the University of Utah, pursuing a B.S. in Computer Science with an expected graduation in Fall 2025. Throughout his coursework, he has built projects ranging from interactive data visualizations of national health statistics using Python and JavaScript to full-stack educational tools and machine-learning-powered document processing systems. Maxwell currently works as a Software Developer at the Scientific Computing and Imaging Institute, where he develops interactive mapping tools that visualize real-time and forecasted air quality across Utah. His project portfolio includes FreedomLedger, where he contributed to UI design, implemented user authentication and account management features, and developed key components of the Financial Advisor portal used to manage client data. He also worked on patent law software featuring OCR and machine-learning-driven text extraction to assist legal professionals. He is passionate about applying software engineering to real-world scientific and societal challenges and continues to expand his skills across Python, JavaScript, TypeScript, C#, Java, SQL, and modern cloud platforms. You can reach him at maxgesteland@gmail.com .

Shubham Singh

Shubham Singh is a Computer Science student at the University of Utah, graduating in December 2025. As the backend architect for FreedomLedger, he designed and deployed the distributed microservice architecture using Next.js 15 and FastAPI, engineered scalable PostgreSQL schemas with Redis caching, and implemented the real-time networth calculation feature. He led CI/CD deployment to AWS EC2 and delivered 100+ RESTful endpoints with enterprise-grade security. Currently serving as a Peer Mentor at the Kahlert School of Computing, Shubham has assisted over 100 students while designing the Mentorship Program platform. His technical skills include Python, Go, TypeScript, JavaScript, PostgreSQL, AWS, Docker, and Kubernetes. He is passionate about building high-performance fintech solutions. You can reach him at shub.ss@outlook.com