Gestalt Robotics
Anna Melkonyan is a Machine Learning Engineer at Gestalt Robotics, with prior experience as a Student Data Scientist at Augmented Robotics, where significant contributions included optimizing machine learning pipelines and integrating models into mobile applications. Anna's background encompasses scientific assistance roles at the German Institute of Human Nutrition and Charité, focusing on data analysis and feature visualization in neuroimaging, as well as research at Humboldt University of Berlin, involving the design of dynamic graph models and causal interaction analyses. Anna holds a Master's degree in Computational Neuroscience from Technische Universität Berlin and a Bachelor of Science candidate degree in Behavioral Sciences from Northeastern University.
Gestalt Robotics
Gestalt Robotics is a software and solution provider working at the interface of classic industrial automation and artificial intelligence. We accompany our clients in the innovation process from ideation through prototyping to the integration of finished products. In addition to software development, the range of services includes consultingactivities (e.g. feasibility studies and automation concepts) as well as support for the customer after the end of the project. Based on the extensive technical experience and expertise of the core team in applied research, Gestalt Robotics serves the ever growing demand for automation solutions from companies in various industries, but with a clear focus on manufacturing. The core of the business model of GESTALT Robotics is the project-based development of tailored software for the four application fields: (data-efficient) AI-powered image processing in 2D and 3D, intelligent robotics, (edge) platform services for autonomous mobility and innovative worker assistance systems.