Nathan Cerisara is a research-focused software engineer and AI enthusiast with eight years of hands-on experience and a decade-long passion for computing, currently interning at IRIDIA (Université libre de Bruxelles) on intuitive swarm robotics control via natural gesture detection. Educated at Louis‑le‑Grand and Télécom Physique Strasbourg (3rd year, data science & AI track), he has applied NLP and Transformer architectures—especially BERT—for sentiment classification and semantic search across internships at Alcatel‑Lucent Enterprise and Loria. He has explored fine-tuning strategies for large language models (including Ladder Side Fine Tuning versus QLoRA) and contributes code and projects on GitHub (nath54) with a personal site documenting his work. Nathan aims to pursue research toward multi-agent, multimodal systems and open-source, low-cost routes to long-horizon intelligent agents. Colleagues describe him as both methodical and curious, blending rigorous academic training with practical prototyping in real-world R&D settings.
8 years of coding experience
Lycée Louis-le-Grand
Baccalauréat général, Baccalauréat général at Lycée Henri Poincaré
Diplôme d'ingénieur, Informatique, Diplôme d'ingénieur, Informatique at Télécom Physique Strasbourg
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Nathan Cerisara - Stagiaire Au Laboratoire De Recherche IRIDIA