I've applied AI-based image analysis to perovskite solar-cell research at Nazarbayev University, building reproducible SEM-image pipelines that extract grain boundaries, size, coverage, and defect density. I also optimized organic solar-cell fabrication, achieving a 15.3% experimental PCE and 76% fill factor.
Through Yessenov Data Lab, I built machine-learning applications including a CO₂ footprint Streamlit chatbot, disaster-response assistant, absenteeism classifier, and deep-learning flower classifier. I use Python, SQL, R, MATLAB, PyTorch, TensorFlow, and statistical modeling for forecasting, regression, optimization, and computer vision.
