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Valantis Andreas

@valantisandreas

I build NLP and AI systems that turn data into usable products.

Netherlands
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What I'm looking for

I'm looking to build practical NLP, LLM, and machine learning systems, combining research-driven experimentation with product-focused engineering and measurable real-world outcomes.

I've built NLP and conversational AI systems at TU Delft and Volentis.ai, including a hybrid value-extraction tool that transforms documents into structured datasets and MCP-based HRIS integrations that reduced manual queries by 50%.

My work spans fine-tuning multi-label NLP classifiers, LLM components, REST APIs, and MongoDB optimization. Previously, at BioSim Lab NTUA, I designed CNN architectures for Covid-19 cough detection, improving AUC by 13% and presenting the research at IEEE EMBS BHI 2024.

Experience

Work history, roles, and key accomplishments

TU Delft logoTD

NLP Research Engineer

TU Delft

Jun 2026 - Nov 2026 (5 months)

Fine-tuned embedding-based multi-label NLP classifiers to extract semantic values from social media datasets. Integrated NLP and LLM components into a hybrid value-extraction tool to transform documents into structured datasets automatically.

Education

Degrees, certifications, and relevant coursework

Delft University of Technology logoDT

Delft University of Technology

Master of Science, Data Science and Artificial Intelligence Technology

Grade: 7.78/10

Activities and societies: Relevant coursework includes Natural Language Processing, Information Retrieval, Inclusive Speech Technology, DevOps, Machine Learning for Software Engineering, Scalable Learning Systems, and Machine and Deep Learning.

Pursuing an MSc in Data Science and Artificial Intelligence Technology with a focus on Language and Speech Technology and Software Engineering.

National Technical University of Athens logoNA

National Technical University of Athens

Bachelor of Engineering, Electrical and Computer Engineering

Grade: 7.98/10

Activities and societies: Thesis on classification of cough recordings for Covid-19 detection including concept drift adaptation, graded 10/10.

Earned a BEng & MEng in Electrical and Computer Engineering with a focus on Computer Science.

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