I work in ambitious startups, in technology focussed roles at the intersection of Product and Engineering. Responsibilities often include leading the product development efforts and team, design plan and deploy frequent product iterations, provide advice and support the founding and business team and individual technical and product contributions.Before my current position I was a solution-oriented Data Scientist and Machine Learning Engineer at Treelogic, applying my technical, management and creative skills to design and build innovative solutions to real-world problems and products. I was working on a diverse set of technical products that heavily rely on data science, machine learning and computer vision, where I currently lead the machine learning engineering chapter.Before joining Treelogic, I was working as a scientific researcher (Physics PhD, EU H2020 Marie Curie Fellow) in one of the particle collider experiments at the Large Hadron Collider at CERN. The focus of my research, described in more detail in my resume, was the development and application of new machine learning techniques and data-analysis pipelines to increase the discovery potential of these costly experiments. The main outcome was been the design and implementation of a novel end-to-end learning technique that directly optimises the statistical inference reach of a given data analysis and thus the corresponding scientific impact.From a technical standpoint, I am very capable software engineer and architect. Furthermore, I have extensive experience with the set of computational tools and concepts that are used for building state of the art machine learning systems in the context of Computer Vision and Natural Language Processing as well as those used in modern data science workflows for processing and analysing large quantities of data. I am used to dynamic environments that require rapidly learning new abstractions, self-directed research and the use of new tools for solving a given challenge.Regarding collaboration, I deeply care about clear communication between team members and the value of feedback by means of productive and objective discussions. While my technical background in quantitative skills such as Statistics and Machine Learning was mainly developed by carrying out data analysis within large scientific experiments, I am passionate about developing and deploying computational and software tools that can positively contribute to societal, industrial and technological progress.