Panteleimon Myriokefalitakis is a Senior Deep Learning Engineer based in Stockholm with nine years of experience specializing in computer vision and real-time deep learning systems. He has progressed through research to production at Univrses, contributing R&D consultancy for automotive clients like Zenuity and Zenseact and now leads vision deep learning efforts there. His MSc work produced a self-supervised monocular depth estimation method published at 3DV 2019, reflecting a strong grounding in cutting-edge research. Comfortable moving models from papers to real-time applications, he blends academic rigor from KTH with hands-on engineering for safety-critical domains. Colleagues know him for turning complex perception problems into performant, deployable solutions and for a pragmatic focus on self-supervision and efficiency. Outside core projects he maintains an active curiosity in advancing monocular depth and perception tooling.
9 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Machine Learning, Master of Science (MSc), Machine Learning at KTH Royal Institute of Technology
Diploma equivalent to MEng (300 ECTS), Production Engineering and Management, 8.11 / 10, Diploma equivalent to MEng (300 ECTS), Production Engineering and Management, 8.11 / 10 at Dimokrition Panepistimion Thrakis
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Panteleimon Myriokefalitakis - Senior Deep Learning Engineer at Univrses