Christoffer Lund Rasmussen Email & Phone Number

Copenhagen, Dk

In my current role, I lead and manage a talented team of Computer Vision and AI Engineers. The team utilizes computer vision and artificial intelligence to serve world-class athletes and amateurs, providing actionable insights to improve their performance. Additionally, our advanced tracking systems enhance the viewing experience for television audiences, offering detailed analytics and bringing them closer to the action.My main responsibilities are as follows:Technical LeadershipGuiding the technical direction of our department, overseeing the development and implementation of state-of-the-art computer vision and AI technologies. Contributing to architectural decisions, development processes, and tool selection to ensure our team's efficiency and effectiveness.Team ManagementManaging a team of engineers, nurturing their professional growth while ensuring that they maintain a clear focus on key objectives. Focus on fostering a collaborative and inclusive environment.Cross-Functional CollaborationI act as the main point of contact between my team and other departments, facilitating clear and effective communication to align all stakeholders with our projects' goals. I work closely with the Head of Products to ensure that our technical roadmap aligns with the company's product vision and strategy.Recruitment and OnboardingI play a key role in attracting and selecting top-tier talent to join our team. In addition to facilitating the hiring process, I also oversee the onboarding of new employees to ensure they smoothly integrate into our team and can quickly contribute to our projects.Algorithm DevelopmentDesign and development of advanced computer vision algorithms for improved image processing, optimized machine learning models for efficient operation, and uses my expertise in AI to develop intelligent solutions that notably enhanced the accuracy and performance of our computer vision systems.

Nivå, Denmark

Nivå, Capital Region, Denmark

Key focus areas: Deep learning-based object recognition for measuring quality of harvested corn silage for use in optimising yield.Model optimisation for edge/embedded inference.Explainable AI methods for deep learning interpretability.The project is in collaboration with Visual Analysis and Perception research laboratory at Aalborg University led by Thomas B. Moeslund. Additional collaboration with Department of Agroecology at Aarhus University.

Nivå, Capital Region, Denmark

Algorithm development for measuring harvest quality.Lead author for funding for Industrial PhD application from Innovationsfonden.

Main developer for a number of exhibitions at Universitarium focusing on computer vision and computer graphics. Primary methods including object recognition, tracking and virtual reality.

Aalborg

Guide at the Universitarium exhibition focusing on science and engineering organised through Aalborg University. Primary tasks: setting up the exhibition, explanation of experiments, conducting a science show and general maintenance.Developed an exhibit that tracked persons from on overhead camera using C++ and OpenCV.

Aalborg

Guidance of current and potential future students for Media Technology educations.

Aalborg

Been an ambassador for the University on a number of occasions, where my objectives were planning and carrying out parts of the events. This included finding and setting up relevant projects at the events, presenting Aalborg University and its educations, and carrying out workshops. These events include:-Dansk Naturvidenskabsfestival at Aalborg Zoo.-Studiepraktik-Åbent Hus

Melbourne-Området, Australien

Daily operations included keeping the website up to date through adding new products, updating prices on current items, and creating graphics for promotional campaigns. Also managed SEO and Google AdWords.

Melbourne-Området, Australien

My main roles included daily operations within the store, such as customer service and sales. Also employee management, including creating employee schedules, training, and stocking.

Doctor Of Philosophy - Phd

Computer Vision-based Monitoring of Harvest Quality. An Industrial PhD project in collaboration with the Visual Analysis and Perception.

Master Of Science (Msc) In Engineering, Vision, Graphics And Interactive Systems, Thesis Grade: 12 Total Grade Average: 11.5

Areas of focus: Computer vision Machine learning Deep learning/AI Computer graphics

Bachelor Of Science (Bsc), Medialogy, Thesis Grade: 12 Total Grade Average: 10.3

Activities and Societies: MED AcademyAreas of focus: Computer vision Statistical data analysis Computer graphics Signal processing