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Daniel Kohlsdorf
Software Engineer, Data Scientist, Machine Learning Enthusiast


ABOUT

I am a staff data scientist at the logistic startup Hive , where I am working on intelligent agents and data solutions in the logistics and fullfillment space. I also work as a freelance data scientist with the Wild Dolphin Project. The goal is to use Machine Learning to discover patterns in Dolphin Communication. Before, I was a software engineer with a specialisation in machine learning at Meta (former facebook) working on audience building and targeting. I was also working as a data scientist working at the e-commerce company Shopify where I worked on building an email marketing tool for the growth organisation. My fist job after my PhD was at a social network called Xing in Hamburg where I was working on Recommender Systems and Machine Learning. I received a PhD in computer science from the Georgia Institute of Technology. I also worked as a graduate research assistant in the Contextual Computing Group under Thad Starner. Before joining Georgia Tech I was a student assistant in the intelligent systems research group at University Bremen. I wrote my Diploma Thesis (Diploma is a German, similar degree to a Masters) in the same research group and worked there as a researcher for a short period of time. I also worked as a software developer for mobile applications on the android and iOS platform in the Neusta Software Development Group.

Problem domains I am currently interested in include: learning to rank, recommender systems, deep learning, gesture recognition, bio acoustic modeling of dolphin communication.