Alessandro Valentino

Senior Machine Learning Engineer at sennder

Alessandro Valentino is a seasoned professional in machine learning and mathematics, currently serving as a Senior Machine Learning Engineer at sennder since November 2022. Prior experience includes roles as a Machine Learning Scientist at Berlin Brands Group, where responsibilities encompassed research, statistical modeling, and MLOps for machine learning projects. Alessandro has also contributed to academia as an Adjunct Professor at The German University in Cairo and as a Senior Researcher at the University of Zurich, with a focus on mathematical topics. Previous positions include visiting researcher at the Max Planck Institute for Mathematics and postdoctoral researcher at the University of Hamburg and The University of Göttingen. Alessandro holds a PhD in Mathematics from Heriot-Watt University and a Master’s degree in Theoretical and Mathematical Physics from Università degli Studi di Napoli Federico II.

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Berlin, Germany

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sennder

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sennder is a leading digital road freight forwarder in continental Europe, linking large commercial shippers with small freight carriers. With its in-house-developed platform, sennder provides a new level of automation, transparency and efficiency to the European €300 billion road freight market, which until now has been dependent on paper, phone and fax and characterized by multi-layer subcontracting. sennder’s digital connection to over 7,500 vehicles in all segments allows for almost unlimited capacities, no matter what time of the day. sennder digitalizes the truckload-shipping ecosystem by providing mobile apps to drivers, fleet management tools to carrier managers and logistics management solutions to shippers. Real-time booking, a designated contact person always on hand, as well as precise live tracking, bring full transparency to any logistics supply chain. By integrating directly with the shippers’ Transport Management and Freight Management Systems via APIs and by cutting the multiple middle men, sennder increases efficiency and reduces cost for all stakeholders.