Summary
Rustam Azimov is a machine learning-focused scientific researcher with eight years of experience applying computer vision and NLP methods to real-world problems, from large-scale OCR systems that process over 400,000 exam forms annually to UAV-based remote sensing for agriculture. Based at the Institute of Control Systems in Baku, he has authored 21+ scientific papers, organized multiple Scopus-indexed conferences and regularly presents at international venues, demonstrating both deep technical ability and academic leadership. He combines practical engineering skills (Python, OpenCV, TensorFlow/PyTorch, BigQuery, SQL, Tesseract) with publication and project management experience, having coordinated peer review and communication with hundreds of scientists. As an educator and supervisor, he teaches machine learning and computer vision and mentors master’s and bachelor’s students, bridging research and hands-on training. Notably, his work spans language-specific OCR and authorship attribution as well as multispectral orchard monitoring—showing a rare blend of domain versatility and systems-level impact.
8 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Azerbaijan National Academy of Sciences
Bachelor’s System Engineering (joint BBA program with GSU, Bachelor’s System Engineering (joint BBA program with GSU at Azerbaijan State Oil and Industry University • ASOIU
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Institute of Control Systems
English, Azerbaijani, Turkish, Russian