Simon Stochholm, a lecturer at UCL Denmark, shares his career journey from childhood fascination with the ELIZA chatbot to becoming an applied deep learning educator and researcher. He describes four real-world ML projects: identifying ferry captains from thrust time-series data converted to images using Gramian angular fields, MRI-based instance segmentation to detect blood flow issues in feet and prevent amputations, pig behavior classification using YOLOv8 to detect early signs of illness on farms, and satellite cloud movement prediction with stable diffusion for solar panel companies. He also discusses challenges using stable diffusion for synthetic pig data generation and shares career advice centered on persistence, courage, and seizing opportunities.