Gianluca Volkmer is a PhD student and research engineer based in Stockholm, specializing in machine learning and AI with nine years of hands-on experience across academic and applied research settings. Currently affiliated with Karolinska Institutet and KTH Royal Institute of Technology, he contributes to human-centered smart city projects and has a track record in localization and perception research, including work on weakly electric fish localization. He combines teaching experience—from assistant roles at KTH and Freie Universität Berlin—with practical software development roots dating back to a startup and industry roles. Outside research he’s a certified Les Mills BodyPump instructor, reflecting a disciplined, communicator mindset that he brings into collaborative labs and classrooms. Long term he aims for an academic career focused on research and teaching in ML and AI.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at KTH Royal Institute of Technology
Bachelor of Science - BS, Computer Science, 1.3, Bachelor of Science - BS, Computer Science, 1.3 at Freie Universität Berlin
Dieses Cheat-Sheet habe ich während der Veranstaltung ProInformatik IV 2020 an der FU-Berlin zusammengestellt und soll/darf dazu genutzt werden Befehle für NASM-x86-Assembly nachzuschlagen.
Contributions:8 commits, 5 PRs, 10 pushes in 2 years 3 months
Contributions:2 PRs, 11 pushes, 2 branches in 10 months
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