Summary
Gabriel Preda is a Principal Data Scientist at Endava with nine years in industry and a deep academic foundation (PhD in Computational Electromagnetics) that informs his pragmatic approach to AI and MLOps. A multi-time Kaggle Grandmaster and Google Developer Expert, he specializes in turning research-grade models into transparent, production-ready, and cost-effective systems—especially agentic and on-device AI. He architects solutions across the Google AI ecosystem (Gemini, Gemma, MedGemma) and advocates local model deployment to cut latency and cloud spend. His background spans founding R&D startups, lecturing at university, and leading cross-functional teams, which gives him both entrepreneurial grit and production delivery experience. He publishes practical how-to guidance (author of Developing Kaggle Notebooks) and is notable for candidly sharing real-world failures alongside fixes to accelerate adoption. Based in Bucharest, he blends deep learning research, systems engineering, and operational savvy to bridge Kaggle-winning prototypes and enterprise-scale AI products.
9 years of coding experience
22 years of employment as a software developer
Année Spéciale en Informatique et Mathématiques Appliquées, Computer Science, Année Spéciale en Informatique et Mathématiques Appliquées, Computer Science at Ecole Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble / ENSIMAG
POLITEHNICA București National University for Science and Technology
English, French, Japanese, Romanian, German