Manolis Panagiotou is a PhD candidate in machine learning at Freie Universität Berlin with eight years of experience applying generative, explainable, and fair AI to tabular data. He combines a strong engineering foundation from an MEng in Electrical and Computer Engineering (NTUA) with practical industry impact, including a machine learning engineering role solving company-name matching and an internship at Uber where his work on Automatic Prompt Optimization boosted production prompt performance by 15% and produced LLM explainability tooling. His research background spans GAN-based 3D reconstruction from single satellite images to open-source terrain mapping, reflecting a knack for turning academic ideas into usable tools. Based in Berlin, he blends rigorous research with hands-on software development, particularly at the intersection of model interpretability and real-world deployment.
8 years of coding experience
Master of Engineering - MEng Electrical and Computer Engineering, Master of Engineering - MEng Electrical and Computer Engineering at National Technical University of Athens
Generating Elevation Surface from a Single RGB Remotely Sensed Image Using Deep Learning
Contributions:28 commits, 3 PRs, 25 pushes in 1 year 10 months
pythondeep-learningremotelycomputer-visionrgb
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Manolis Panagiotou - PHD Student at Freie Universität Berlin