I am a Data Engineer at JPMC, with a background in MSc in Computing Science, with a strong foundation in Computer Vision and hands-on experience in Natural Language Processing. I have led two significant research projects in the field of Computer Vision. My first dissertation focused on enhancing neuroimaging data quality through blind denoising techniques applied to fMRI scans. My second dissertation explores real-time instance segmentation, emphasizing the deployment of efficient and lightweight models for mobile applications. This project utilizes a technical stack comprising PyTorch, TensorFlow Lite, and Kotlin, optimized for real-time, on-device inference.
💻 Tech Skills: Most experienced with Python and Java, have some projects in React Native/Kotlin, experienced in Web Development.
- 🌱 Open to work on hackathons, or collaborate in AI/ML projects
- 📫 You can contact me at: doroteyastoyanova@proton.me