Stavros Giorgis
Senior Staff AI ML Engineer at Automation Anywhere
Athens, Attica, Greece
Summary
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Senior🎓
Top SchoolStavros Giorgis is a Senior Staff AI/ML Engineer with over a decade of hands-on experience building and deploying production NLP and LLM-driven systems across publishing, music, and enterprise automation. He has led multi-disciplinary squads to deliver fine-tuning pipelines, retrieval-augmented agents, and large-scale metadata linking services, repeatedly improving search recall and precision by multiples through algorithmic and systems work. At Aisera (now part of Automation Anywhere) he architected the cognitive core for multi-agent orchestration and led efforts that produced domain-adapted LLMs competitive with proprietary models. His background spans research-grade R&D to pragmatic MLOps—owning feature engineering, model deployment, benchmarking, and observability—while mentoring teams and shaping hiring. Trained at KTH and Athens University of Economics and Business, he blends rigorous ML foundations with product-focused experimentation, including work on contrastive fine-tuning and synthetic benchmarking that drove measurable production impact. Based in Athens, he combines deep technical breadth with a knack for turning PoCs into scalable services handling billions of inferences.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Athens University of Economics and BusinessMaster of Science - MS Machine Learning, Master of Science - MS Machine Learning at KTH Royal Institute of TechnologyComputer and System Sciences, Computer and System Sciences at Stockholm University
English, Greek
Github Skills (40)
intellij9
deploying9
java8
removal8
keras-tensorflow8
linear-algebra7
artificial-intelligence7
spark7
differentiation7
scala7
gpu7
keras7
noise7
python7
math-library7
Programming languages (2)
Github contributions (5)
sgiorgis/VariationalDenoisingNetwork-TF-2.0
Nov 2019 - Apr 2020
Reproduction of "Variational Denoising Network: Toward Blind Noise Modeling and Removal" (NeurIPS 2019) in Tensorflow 2.0.
Contributions:7 commits, 1 PR, 8 pushes in 5 months
blinddeep-learningtensorflow-2-0reproductiondenoising-network
sgiorgis/Checkers
Oct 2018 - Feb 2019
Contributions:1 push, 1 branch in 4 months
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