Pradipta Deb

Background

About Pradipta Deb

I'm a Research Engineer at HornetSecurity+Vade. I mainly work at the junction of machine learning, privacy, and cybersecurity research. Before VADE, I was a Senior AI Engineer at Contract.Fit (2021-2022) and Research & Development Engineer at INRIA, Lille (2019-2021). I have worked on achieving intelligent automation for extracting structured data from unstructured documents. My work focused on applying Machine Learning models for everyday cognitive tasks. Furthermore, I have also worked on privacy-preserving machine learning (especially in differential privacy, FHE, and HE) subjected to a completely decentralized setting. I have a strong research inclination toward the application of Deep Learning/Machine Learning for various domains of Computer Vision, Natural Language, and Speech Processing with significance to data privacy. During 2016-2018, I was a Research Assistant at DFKI. I have contributed to the official Text-to-Speech (MaryTTS) System of DFKI. I'm skilled in developing various statistical machine learning algorithms in Python, Tensorflow, Pytorch, and Fastai. Likewise, I also have software development experience in C/C++, Rust, Julia, GoLang, and Java. I have completed the degree "Master of Science (MS)" in Computer Science from Saarland University.