Summary
Batuhan Guler is an AI Lead based in London with eight years of cross-sector experience building and scaling machine learning solutions for energy, consumer goods, and finance. He holds a dual engineering and MSc degree in Machine Learning from Ecole Centrale de Lyon and Imperial College London, and contributed to a NeurIPS 2019 paper on stable deep learning for stochastic differential equations. At C3 AI he led small data science teams to deploy predictive maintenance, anomaly detection with computer vision, and virtual metering at global scale, and now drives AI strategy and delivery at Lupa. Comfortable bridging research and production, he pairs rigorous academic foundations with hands-on deployment experience in industrial environments. An uncommon strength is his blend of quantitative finance background and applied ML, enabling robust modeling where domain constraints and operational scale matter.
8 years of coding experience
6 years of employment as a software developer
Baccalauréat S (High School Diploma) Mathematics, Baccalauréat S (High School Diploma) Mathematics at Lycée Jean de Pange, Sarreguemines
Master of Science - MS Machine Learning Computing - Distinction, Master of Science - MS Machine Learning Computing - Distinction at Imperial College London
Visiting Student Machine Learning, Visiting Student Machine Learning at École normale supérieure de Lyon
Master of Engineering - MEng, Master of Engineering - MEng at Centrale Lyon
Mathematics Physics, Mathematics Physics at Lycée du Parc
English, French, Turkish, German