Summary
Oleg Ovcharenko is a Senior Developer Technology Engineer with 11 years of experience bridging academic research and industry to build data-driven solutions in geophysics, model optimization, and domain-specific AI. At NVIDIA he has driven generative AI and accelerated computing initiatives—progressing from Solutions Architect roles focused on LLM training, fine-tuning, and deployment to senior developer technology leadership. His PhD work at KAUST on deep learning for seismic full-waveform inversion and prior research in tectonophysics underpin a strong ability to translate complex physical models into practical ML systems. Oleg has applied self-supervised and contrastive-learning techniques in industry settings (CGG, ExxonMobil) to tackle signal separation and image restoration problems. Active in the European geoscience community as an AI committee member, he combines scientific rigor with hands-on engineering to deliver production-ready, efficiency-focused AI solutions. Based in Dubai, he pairs startup and enterprise experience to accelerate adoption of high-performance AI in energy and geoscience domains.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at KAUST (King Abdullah University of Science and Technology)
Master's degree, Physics, Master's degree, Physics at Moscow State University
Master's degree, Master's degree at Institut de Physique du Globe de Paris
Russian, English, French