Projects from CV/ML courses and research: filtering, morphing, mosaics, diffusion, NeRF, and GAN/Diffusion Hybrid.
Building an end‑to‑end ML pipeline to forecast daily cafeteria revenue for Skjennungstua (~10M NOK/year) by fusing weather, calendar, and foot‑traffic proxies. Live dashboard coming soon.
An autonomous FPL assistant that ingests live injuries, suspensions, and fixtures, simulates outcomes, and proposes optimal transfers and captain picks with explainable expected‑points projections.