❖ Developing AI systems and optimizing deep learning models for embedded and edge devices ❖ Working with LLM-based pipelines, RAG systems, and intelligent data processing workflows ❖ Designing and deploying neural network architectures for realtime inference applications ❖ Collaborating with R&D teams on production integration of AI modules and intelligent monitoring systems ❖ Working with sensor data p

❖ Designed, developed, trained, modified, and evaluated deep learning architectures for computer vision applications ❖ Developed AI algorithms for satellite and UAV imagery analysis, including visual recognition and image understanding tasks ❖ Conducted experiments with different neural network architectures, training strategies, and model configurations to improve accuracy and robustness ❖ Implemented and tested custom computer vision pipelines for satellite and UAV-based applications ❖ Performed model evaluation, error analysis, and comparative testing of different architectures and approaches ❖ Conducted research on deep learning methods for computer vision and contributed to the development of experimental AI systems ❖ Worked on adapting and optimizing AI models for practical applications involving aerial and satellite imagery

❖ Developed AI and C/C++ based research projects in computer vision and machine learning ❖ Contributed to scientific research and co-authored publications in applied AI ❖ Implemented and tested machine learning algorithms for academic and experimental systems ❖ Assisted research teams with AI model development, optimization, and data processing pipelines