Nikos Tsekos is an undergraduate student of Computer Engineering and a Software Engineer specializing in the development of machine learning applications.
He is currently working with the GFOSS (Open Technologies Alliance) as part of the GlossAPI team, where he contributes to large-scale data pipelines, applied ML workflows, and open-source tools designed to make scientific knowledge more accessible.
His professional focus lies in building robust software systems that leverage machine learning to solve practical problems, ranging from text processing and document analysis to dataset preparation for AI research. Nikos has hands-on experience in designing scalable architectures both on CPU- and GPU-based infrastructures, optimizing performance for high-volume data processing.
Beyond his core engineering role, Nikos maintains a strong interest in the broader field of AI security and research. He is particularly motivated by the challenges of ensuring the reliability, fairness, and safety of machine learning systems as they move into critical applications.
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Nikos Tsekos is an undergraduate student of Computer Engineering and a Software Engineer specializing in the development of machine learning applications.
He is currently working with the GFOSS (Open Technologies Alliance) as part of the GlossAPI team, where he contributes to large-scale data pipelines, applied ML workflows, and open-source tools designed to make scientific knowledge more accessible.
His professional focus lies in building robust software systems that leverage machine learning to solve practical problems, ranging from text processing and document analysis to dataset preparation for AI research. Nikos has hands-on experience in designing scalable architectures both on CPU- and GPU-based infrastructures, optimizing performance for high-volume data processing.
Beyond his core engineering role, Nikos maintains a strong interest in the broader field of AI security and research. He is particularly motivated by the challenges of ensuring the reliability, fairness, and safety of machine learning systems as they move into critical applications.
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GlossAPI is an open‑source Python library and technical infrastructure to create, curate, and publish AI‑ready Greek datasets. At our Open Space stand, we’ll showcase documented datasets hosted on Hugging Face and the reproducible preprocessing workflows that produce them. Visitors will see how academics, students, and practitioners can contribute new corpora or reuse existing data in Natural Language Processing (NLP, Natural Language Processing) and Large Language Models (LLM, Large Language Models) applications. We’ll run short offline demos, share dataset cards, and provide links to repositories (Hugging Face / GitHub) and a collaboration form.
Focus: transparent pipelines, licensing clarity, and practical reusability—lowering friction for those building or evaluating Greek AI.
Goal: grow a community around open standards and rigorous documentation so Greek‑language AI becomes more accessible, ethical, and reproducible.
GFOSS (Open Technologies Alliance)
GlossAPI is an open‑source Python library and technical infrastructure to create, curate, and publish AI‑ready Greek datasets. At our Open Space stand, we’ll showcase documented datasets hosted on Hugging Face and the reproducible preprocessing workflows that produce them. Visitors will see how academics, students, and practitioners can contribute new corpora or reuse existing data in Natural Language Processing (NLP, Natural Language Processing) and Large Language Models (LLM, Large Language Models) applications. We’ll run short offline demos, share dataset cards, and provide links to repositories (Hugging Face / GitHub) and a collaboration form.
Focus: transparent pipelines, licensing clarity, and practical reusability—lowering friction for those building or evaluating Greek AI.
Goal: grow a community around open standards and rigorous documentation so Greek‑language AI becomes more accessible, ethical, and reproducible.
GFOSS (Open Technologies Alliance)
