Hans Askov

Delivered Production Intelligence V4, a platform that processes 420M+ products a year. The update cut customers' loading times from 10s to 0.1s. Worked with cloud infrastructure in AWS and Microsoft Azure and served as the link between customers and internal stakeholders.

Designed the data pipeline behind Production Intelligence V4 and evaluated storage formats that later reduced storage costs by 92%. Worked with PostgreSQL, optimizing SQL queries to reduce the load on the backend.

In close collaboration with a fellow student, developed a pipeline to generate synthetic images, which were used to train two AI models for object detection and 6DoF pose estimation of components in a bin. We coordinated continuously with Novo Nordisk, and the project was later used by researchers at SDU to improve their internal AI models.

Part of a larger development team, responsible for collecting and analyzing data from distributed IoT devices. Used this data to build a web application where customers can monitor their products live, and worked closely with colleagues to ensure consistency across the system.

Through robotics I was introduced to web development and haven't looked back since. During my master's I worked with Docker, Kubernetes, AWS, Microsoft Azure, Infrastructure as Code, DevOps, CI/CD, cybersecurity, data security, and big data, mainly in project groups where planning, knowledge sharing, and shared responsibility were essential.

Found my passion for software and mathematics through my studies. Programmed a UR5 robot arm to detect, grasp, and throw objects with collision-aware motion planning.