Summary
Nikolaos Ntrenis is a Machine Learning Scientist based in Athens with 11 years of experience applying ML to real-world and research problems, from conversational AI and large‑model fine-tuning to biomechanical gait simulation. He has worked at Omilia on distributed training and production dialogue systems and previously built data‑driven reinforcement/imitation learning models for pathological gait prediction at HES‑SO, combining PyTorch/TensorFlow with simulation tools like OpenSim. His background includes multiple CERN roles where he bridged data analysis, web development and visualization for large scientific projects, and an early research internship that produced a published recommendation‑systems paper. Comfortable across the ML stack—Transformers, Colossal-AI, adapters, LangChain, vector DBs—he brings both engineering rigor (W&B, Slurm, Docker, AWS) and research instincts honed in international academic environments (Erasmus, Geneva, Vrije Universiteit Brussel). Notably, he blends hands‑on production experience with a track record of turning patient and detector data into actionable simulation and visualization tools.
11 years of coding experience
6 years of employment as a software developer
Erasmus student, Erasmus student at University of Lille 1 Sciences and Technology
White Hat courses, White Hat courses at CERN
Diploma CERN school of computing, Scientific Computing, Diploma CERN school of computing, Scientific Computing at Vrije Universiteit Brussel
Bachelor's degree, Informatics and Telematics, 7.7/10, Bachelor's degree, Informatics and Telematics, 7.7/10 at Harokopio University of Athens
Master, Computer Science, 5/6, Master, Computer Science, 5/6 at University of Geneva
Greek, English, French