Portfolio
Adrian Jacobsen Lund
Computer Science student at NTNU with a strong interest in computer vision, machine learning, and data analytics.
This website presents selected projects, technical interests, and contact information for Adrian Jacobsen Lund. The portfolio highlights practical work in machine learning, forecasting, anomaly detection, computer vision, data-driven interfaces, and Java application development. It is intended for recruiters, collaborators, and anyone who wants a quick overview of experience, tools, and project focus areas.
Core Areas
Adrian focuses on building software that combines solid engineering with useful analysis. Areas of interest include computer vision systems, machine learning workflows, data processing, visualization, and user-facing tools that make information easier to act on.
Selected Projects
- TV2 X Cogito Editorial ML: machine learning for editorial planning using forecasting, anomaly detection, and embeddings.
- Tic Tac Toe Computer Vision AR: gesture-controlled gameplay with real-time hand tracking and computer vision.
- Personal Info Dashboard: a desktop dashboard for calendar, transport, and weather data with adaptive theming.
- Battleship TDT4100 and QuizGame IT1901: Java and JavaFX projects focused on clean architecture, testable logic, and user interface structure.
Links
GitHub: github.com/adrianjlundd
LinkedIn: linkedin.com/in/adrianjlund
Contact: adrianjlund@gmail.com