Kristian Mathias Røhne

CV pipeline combining YOLO detection, SAM segmentation, and ResNet regression to estimate live pig weight from smartphone images — built during an internship at Animalia, the Norwegian Meat and Poultry Research Centre.

Detecting classification deviations in Norwegian pig production — a monitoring platform used by Animalia to identify anomalies in meat percentage measurements across Nortura and Fatland facilities.

Backend platform for analyzing carcass yields, cutting patterns, and production efficiency in the Norwegian meat industry.

Student startup building a marketplace for farmland rentals in Norway.

Field research and data collection for a precision agriculture project at NMBU, using hyperspectral imaging, drones, and multispectral sensors to study climate-resilient wheat varieties.

Tile-based exploration game built as a project in UC Berkeley's CS61B Data Structures course. Features procedurally generated worlds, save/load, HUD, and interactive gameplay — written in Java from scratch.

Web-based linguistic analysis tool built in Java as part of UC Berkeley's CS61B Data Structures course. Uses graph traversal and historical language data to explore semantic relationships between words.

High-performance graph processing library in C++ featuring strongly connected component detection, diamond pattern analysis, and benchmarked graph representations.

Configurable machine learning framework for training dense and low-rank neural networks in PyTorch. Built as part of INF202 at NMBU to investigate memory-efficient neural network architectures and software engineering best practices.

Comprehensive financial analysis and equity valuation of Yara International ASA — covering accounting analysis, CAPM-based risk modelling, dividend discount valuation, and climate risk assessment.