Machine Learning Engineer at Athens University of Economics and Business
Athens, Attica, Greece
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Summary
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Rockstar
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Panagiotis Spanakis is a software engineer and MSc Data Science & Machine Learning candidate in Athens with four years of hands-on experience bridging research-grade ML and production backend engineering. He has contributed to prominent open-source projects like MindsDB—implementing API integrations and handlers—and delivered data-intensive systems at AUEB’s Business Analytics Lab that optimized multi-gigabyte ETL performance by over 95%. His industry work spans ML model development, LLM finetuning and CI/CD for Python 3.13 projects at EY, plus production-grade integrations and API engineering across startups and research labs. Having balanced mandatory military service with real-world software delivery, he combines disciplined engineering practices with experimentation in hybrid transformer–LLM and multi-agent architectures for NLP tasks. Practical, metrics-driven, and curious, he’s now seeking machine learning engineer or data scientist roles to apply his fusion of backend integration, data pipelines, and applied NLP research.
4 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BSc Management Science and Technology - Software Engineering and Data Science, Bachelor of Science - BSc Management Science and Technology - Software Engineering and Data Science at Athens University of Economics and Business
High School Diploma, High School Diploma at Arsakeia - Tositseia Schools
Master of Science - MSc Data Science and Machine Learning, Master of Science - MSc Data Science and Machine Learning at National Technical University of Athens
AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.
Role in this project:
Back-end Developer & Integration Engineer
Contributions:8 reviews, 9 PRs, 10 comments in 2 months
Contributions summary:Panagiotis contributed to the MindsDB project by merging staging branches, indicating involvement in the development lifecycle. They implemented features within specific handler integrations, notably enhancing the Twitter handler to post tweets with media and incorporating OpenAI calls with logging. Furthermore, they demonstrated expertise in integrating external services and APIs, evidenced by updates to the OpenAI and Empress handlers.
An emerging platform to help developers build #AI solutions
Contributions:4 PRs, 92 pushes, 8 branches in 3 months
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Panagiotis Spanakis - Machine Learning Engineer at Athens University of Economics and Business