David Tafler

• Trained and deployed computer vision models for real-time object detection and instance segmentation for greenhouse plants. • Created an anomaly detection system using computer vision technology for the autonomous harvesting robot. • Developed a graphical dashboard for remote monitoring and control of the robot's operations.

• Developed and deployed ML models in a manufacturing environment, including CNN-based Autoencoders for image anomaly detection and regression models for tool failure prediction. • Managed CI/CD pipelines to streamline development processes and enhance productivity. • Administered and configured InfluxDB for effective storage and analysis of time-series data.

• Conducted research on explainable systems at the intersection of Machine Learning and Cognitive Science. • Co-authored two published papers on generating explanations in intelligent systems. • Collaborated with the Cognitive Systems Group at Otto-Friedrich-Universität Bamberg. • Developed skills in research methodology, data analysis, and academic writing.

Optimizing sales processes and key account management in a fast-growing health-care start-up

Supporting a young team of entrepreneurs in developing, marketing and selling a VR-based EMDR therapy tool

Tutoring psychology undergraduate students in statistics

Research on perceptual learning at the department of cognitive neuroscience

Coursework in Computer Science with a focus on Machine Learning and Cognitive Systems Thesis: Generative Data Augmentation in the Embedding Space of Vision Foundation Models to Address Long-Tailed Learning and Privacy Constraints

Coursework in Software Engineering, Computer Vision, Natural Language Processing, Optimization, Java and Python