Panagiotis Kyriakidis
@panagiotiskyriakidis
Data scientist and ML engineer specializing in NLP, semantic search, and predictive modeling.
What I'm looking for
I am a data scientist and ML engineer with hands-on experience in NLP, predictive modeling, customer segmentation, and semantic search. I build production-oriented systems using Python, transformers, FAISS, PyTorch/TensorFlow, FastAPI and Docker to deliver low-latency, scalable solutions.
My projects include a Movie Semantic Search Engine handling 800K+ items with sentence-transformers, FAISS and GPU-optimized cross-encoder re-ranking, a fake-news detection pipeline using BERT/LSTM achieving up to 78.33% accuracy across datasets, and customer segmentation plus predictive analytics with actionable visualizations in Power BI.
I combine strong analytical thinking, feature engineering and evaluation expertise with clear communication and a results-driven mindset, and I seek roles where I can apply modern NLP and ML techniques to solve real-world problems and help teams deliver measurable impact.
Experience
Work history, roles, and key accomplishments
Built NLP and predictive models (BERT, LSTM, transformers) and production-ready services for semantic search and fake news detection, achieving up to 78.33% accuracy and sub-500ms query latency for MovieVec on 800K+ items.
IT Support Engineer
Self Employed
Feb 2018 - Sep 2018 (7 months)
Provided technical support and troubleshooting for hardware and software issues and developed client-specific solutions that improved system reliability and user satisfaction.
Education
Degrees, certifications, and relevant coursework
International Hellenic University
Master of Science, Data Science
2024 -
Pursuing an MSc in Data Science at the International Hellenic University with focus on machine learning and NLP.
University of Thessaly
Bachelor of Science, Computer Science and Telecommunications
2017 - 2023
Completed a Bachelor of Science in Computer Science and Telecommunications; thesis titled "Smart Recognition of Fake News."
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/pkyriaSalary expectations
Job categories
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