George Mastrapas
Athens, Attica, Greece
Summary
🤩
Rockstar🎓
Top SchoolGeorge Mastrapas is an ML Research Engineer based in Athens with seven years of experience building and productionizing machine learning and NLP systems. He blends research-minded experimentation with software engineering and MLOps practice, contributing backend and evaluation improvements to notable open-source projects such as jina-ai/finetuner for task-oriented embedding tuning. Comfortable refactoring evaluation infrastructure and exposing evaluator arguments, he focuses on making model evaluation clearer and more reproducible in real-world pipelines. With strong academic roots from the National Technical University of Athens, he pairs rigorous technical foundations with hands-on delivery across model development, deployment, and documentation.
7 years of coding experience
8.80, 8.80 at National Technical University of Athens
Greek, English, Italian
Github Skills (12)
machine-learning10
python10
evaluation10
fine-tuning10
back-end-development9
jina9
transfer-learning8
pre-trained-model8
few-shot-learning7
pytorch6
docker6
dockers6
Programming languages (3)
Github contributions (5)
jina-ai/finetuner
Dec 2021 - Jan 2023
:dart: Task-oriented embedding tuning for BERT, CLIP, etc.
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:4 releases, 407 reviews, 23 commits in 1 year 1 month
Contributions summary:George primarily contributed to the Finetuner project by addressing issues related to the evaluator integration, including refactoring code for clearer implementation and adding evaluation features. They updated and refined the code related to model evaluation. Additionally, the user made minor documentation fixes and exposed arguments in the evaluator.
nlptriplet-lossfinetuningsiamese-networkjina
jina-ai/openclip
Jan 2024 - Nov 2024
An open source implementation of CLIP
Contributions:27 reviews, 47 PRs, 133 pushes in 9 months
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