Farrukh Wajahat Ullah is an experienced full-stack developer with expertise in designing, developing, and maintaining dynamic, responsive web applications. He combines in-depth knowledge of front-end and back-end technologies with a strong commitment to delivering user-centric solutions.

He recently earned a Master’s degree in Data Science from the University of Verona, Italy, where he honed his skills in data analysis, machine learning, image processing, and anomaly detection. His thesis focused on the robustness analysis of normalizing flows for anomaly detection.

Currently, Farrukh is a researcher at the University of Trento, where he is advancing AI techniques to construct sequences of knowledge graphs. His work involves processing streams of sensor data and user inputs, contributing to innovative methodologies under the guidance of Prof. Fausto Giunchiglia.