Summary
Onur Barut is a Machine Learning Engineer and architect with 10+ years of experience building large-scale ML systems, multimodal foundation models, and applied GenAI for production. He combines hands-on ownership of model development, evaluation, deployment, and infrastructure with a strong track record in optimizing performance and reliability—previously boosting throughput on Intel hardware by up to 50% and improving retail security outcomes by 30%. A PhD in Computer Engineering (Dean’s Gold Medal) underpins his work on representation learning, sequence models, and network security, and he has authored multiple peer-reviewed publications and open-sourced models and datasets. He currently focuses on product data enrichment and dialogue agent optimization at Wizard AI while teaching graduate-level Generative AI, translating research prototypes into practical, scalable systems. Notably, his background spans mission-critical sensing and avionics instrumentation, giving him uncommon systems-level rigor when designing ML solutions for real-world constraints.
10 years of coding experience
11 years of employment as a software developer
UMass Lowell
Master's degree Electrical and Electronics Engineering, Master's degree Electrical and Electronics Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
German, İspanyolca, French, İngilizce, portekizce