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. Data collection app deployed to production and actively used by pig producers across Norway.

Real-time anomaly detection system monitoring meat-quality metrics across multiple Nortura and Fatland slaughterhouses — used daily by Animalia classification advisors to flag instrument errors and process deviations before they affect large batches.

Backend platform for analyzing carcass yields, cutting patterns, and production efficiency — used by production specialists at Animalia and multiple Nortura slaughterhouses.

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.