Subhan Aliyev

Lead R&D and development of Deep Learning authentication and certification solutions for luxury goods and industrial applications, deploying multihosted LLMs on AWS SageMaker to improve GPU utilization and reduce inference costs. Collaborate with sales to deliver PoCs and client-tailored technical proposals.

Lead R&D on Generative AI, AI agents and domain-specific LLMs for energy sector decision-making and design ML workflows integrating rock physics and seismic interpretation to predict subsurface properties. Built time-series and CV models to forecast drilling parameters and support ADAS applications.

Led applied research to design and deploy ML models for predictive analytics and real-time monitoring, using Python, SQL, Hadoop and Spark for large-scale data processing and delivering client-facing demos and technical proposals. Provided post-sale technical support to ensure successful adoption.

Assisted reservoir performance evaluation including decline curve analysis, material balance calculations and well test interpretation, and contributed to simulation model updates for production forecasting and field development planning.

Enrolled in a Master of Science in Data Science program focusing on advanced machine learning and data-driven solutions for industrial and fintech applications.

Master of Science in Petroleum Engineering emphasizing R&D on generative AI applications and ML workflows for energy-sector decision support.

Bachelor of Science in Petroleum Engineering with coursework and internships focused on reservoir engineering and production optimization.