About

I am a Research Engineer specializing in privacy-preserving AI and large-scale machine learning systems, with over ten years of experience. I have built commercial ML systems handling 6B+ daily interactions, focusing on computer vision, NLP, and security.

As Vice Chair of M3AAWG's AI Committee, I work on international standards development for AI in cybersecurity. My research spans optimization, speech synthesis, and privacy-preserving ML. I thrive on new challenges and learn rapidly from peers.

• Privacy-Preserving Machine Learning & Federated Learning
• Large Language Models & Natural Language Processing
• Computer Vision & Multi-modal AI Systems
• Secure ML Pipeline Design & GDPR Compliance
• Ethical AI Development & Responsible Innovation

• Le Maguer, S., Steiner, I., Tombini, F., Deb, P., Basu, M., & Kröger, I. (2018). Agile MaryTTS Architecture for the Blizzard Challenge 2018
• Basu, M., Deb, P., & Garai, G. (2014). Hybrid of Particle Swarm Optimization and Simulated Annealing for Multidimensional Function Optimization
• Deb, P., & Basu, M. (2014). Next Generation Sequencing Using Ant Colony Optimization Algorithm and Binary Particle Swarm Optimizers
• Banerjee, C., Kundu, A., Basu, M., Deb, P., Nag, D., & Dattagupta, R. (2013). A Service Based Trust Management Classifier Approach for Cloud Security
• Deb, P., & Basu, M. (2013). An Analogy of Algorithms for Tagging of Single Nucleotide Polymorphism and Evaluation Through Linkage Disequilibrium