Manolis Panagiotou
PHD Student at Freie Universität Berlin
Berlin, Germany
Summary
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Senior🎓
Top SchoolManolis 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
English, German, Greek
Github Skills (16)
google-earth-engine10
cgan10
digital-elevation-model10
terrain-generation10
gdal-python10
perlin-noise10
satellite-imagery7
deep-learning7
procedural-generation6
react6
blockchain5
generative-adversarial-network5
3d4
distributed-systems3
compiler2
Programming languages (6)
Github contributions (5)
Panagiotou/ImageToDEM
Oct 2019 - Aug 2021
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
deep-learningcgandigital-elevation-modelsatellite-imageperlin-noise
Panagiotou/ntua-Blockchain
Jan 2020 - Mar 2020
Blockchain system created for Distributed Systems Project-Assignment at ECE NTUA
Contributions:31 commits, 4 PRs, 29 pushes in 2 months
blockchaindistributed-systems
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