I am a researcher at Otto-von-Guericke University Magdeburg, where I work on diverse cutting-edge projects leveraging artificial intelligence. I have over seven years of experience in information technology, including two years in big data and five years in Java/J2EE frameworks. I also received the prestigious DAAD award in 2019. My current research focuses on developing novel methods for speaker anonymization while preserving emotional expressiveness, which addresses the challenges of data protection and facilitating a natural human-computer interaction. Prior to this, I worked on improving the quality of low-dose and sparse-sampled interventional CT reconstructions using perceptual loss-guided deep learning methods. I am passionate about applying my skills and knowledge to create innovative solutions that benefit society and advance science.
Development of perceptual loss-guided deep learning methods to improve the quality of low-dose CT images.
Developed and evaluated deep learning-based solutions for the segmentation of prostate regions in MRI scans.
Developed PoCs for a major American airline concern, which explored the use of big data technologies for different use cases- detecting fraudulent transactions, customer retention
Developed web application using Spring framework for a banking major in Middle East, which increased the scalability of the multiple business processes at a global level.
Was working for an American product based concern, which specializes in design, manufacture, and sell of networking equipments. The assignment involved design and development of a web application. It was being used to track, monitor and manage product releases. It was used for certain automation activation and was also integrated with Webex.
Generative Models
Machine Learning
Speech Science
Python and Pytorch