Matt Poetter

Making startups and established companies become more competitive with latest AI techniques, especially intelligent Robotic Process Automation (RPA) harnessing latest deep learning insights for Natural Language Processing (NLP) and Computer Vision (CV) combined with other AI techniques. Purpose: Automation of activities for administrative activities, agile processes, eLearning, competitive and market analysis, etc.

- Segmentation of audiences, e.g. for recommendation and for on-site and internet marketing - Improvement and tweaking of recommender algorithms for different audiences. - Internet marketing campaign automation and continuous improvement through DMP-based custom ad targeting (data management platform) - AIops to automate CI/CD pipelines and deployment. - Designing microservices using latest architecture and resilience models, e.g. hexagonal architecture.

Mainly studies at the Stanford Artificial Intelligence Laboratory, but also NLP, NLProc, Data Science and Computer Vision.

Mainly studies at the Stanford Artificial Intelligence Laboratory, but also NLP, NLProc, Data Science and Computer Vision.