Summary
Javid Guliyev is a data scientist and AI engineer with eight years of experience blending machine learning research, production engineering, and teaching across industry and academia. He has built and deployed deep learning and computer vision pipelines (PyTorch/Keras) for large-scale geospatial imagery, automated ETL with Airflow, and maintained SQL-backed data platforms while optimizing models with Optuna/Hyperopt. Javid has led ML teams and taught intensive AI/ML courses, translating research insights from ICube Strasbourg into practical solutions at companies like Digital Umbrella, PiTechs, and now ABB. Based in Baku, he combines hands-on model training with product-focused deployment experience and a knack for extracting signals from messy, scanned and geospatial data. An uncommon strength is his concurrent role as a university instructor, which keeps his skills sharp and helps him distill complex AI concepts into actionable workflows.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Azerbaijan State University of Oil and Industry
Master's degree, Data Science and Artificial Intelligence, Master's degree, Data Science and Artificial Intelligence at University of Strasbourg
Computer Software Engineering, Computer Software Engineering at STEP IT Academy Azerbaijan
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at French-Azerbaijani University - UFAZ
English, Azerbaijani, Russian, Turkish, French